"ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs", Bikash Dutta (Indian Institute Of Technology Jodhpur, India), Adit Jain (FLAME University), Rishabh Ranjan (Indian Institute Of Technology Jodhpur, India), Mayank Vatsa (Indian Institute Of Technology Jodhpur, India), Richa Singh (Indian Institute Of Technology Jodhpur, India), AAAI 2026
"Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling", Depanshu Sani (Indraprastha Institute Of Information Technology, Delhi, India), Mehar Khurana (Indraprastha Institute Of Information Technology, Delhi, India), Saket Anand (Indraprastha Institute Of Information Technology, Delhi, India), AAAI 2026
"Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract)", Aisha Hassan (IIT Madras Zanzibar), Tushar Shinde (IIT Madras Zanzibar), AAAI 2026
"AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs", Debdeep Sanyal (Kalinga Institute Of Industrial Technology (KIIT), Bhubaneswar, India), Manodeep Ray (Kalinga Institute Of Industrial Technology (KIIT), Bhubaneswar, India), Murari Mandal (Kalinga Institute Of Industrial Technology (KIIT), Bhubaneswar, India), AAAI 2026
"Are Language Models Any Good at Density Modeling?", Sriram Ranga (Nanyang Technological University), Sai Shashank Bedampeta (Vellore Institute Of Technology), Rui Mao (Nanyang Technological University), Anupam Chattopadhyay (Nanyang Technological University), AAAI 2026
"AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models", Sayantan Adak (Indian Institute Of Technology Kharagpur, India), Pratyush Chatterjee (Indian Institute Of Technology Kharagpur, India), Somnath Banerjee (Indian Institute Of Technology Kharagpur, India), Rima Hazra (Cisco Systems; Eindhoven University Of Technology, Netherlands), Somak Aditya (Indian Institute Of Technology Kharagpur, India), Animesh Mukherjee (Indian Institute Of Technology Kharagpur, India), AAAI 2026
"Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning", Ankita Raj (Indian Institute Of Technology Delhi), Chetan Arora (Indian Institute Of Technology Delhi), AAAI 2026
"Best of Both Worlds Guarantees for Equitable Allocations", Umang Bhaskar (Tata Institute Of Fundamental Research), Vishwa Prakash HV (Chennai Mathematical Institute), Aditi Sethia (Indian Institute Of Science, Bangalore), Rakshitha (Indian Institute Of Technology, Delhi), AAAI 2026
"Beyond World Models: Rethinking Understanding in AI Models", Tarun Gupta (Indian Institute Of Science), Danish Pruthi (Indian Institute Of Science), AAAI 2026
"BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives", Aarush Sinha (Vellore Institute Of Technology (VIT) Chennai, Tamil Nadu, India), Pavan Kumar S (BioSystems Engineering And Control (BiSECt) Lab, Department Of Biotechnology; Wadhwani School Of Data Science And AI, Indian Institute Of Technology (IIT) Madras, Tamil Nadu, India; The Centre For Integrative Biology And Systems MedicinE (IBSE), IIT Madras, Chennai, Tamil Nadu, India), Roshan Balaji (BioSystems Engineering And Control (BiSECt) Lab, Department Of Biotechnology; Wadhwani School Of Data Science And AI, Indian Institute Of Technology (IIT) Madras, Tamil Nadu, India; The Centre For Integrative Biology And Systems MedicinE (IBSE), IIT Madras, Chennai, Tamil Nadu, India), Nirav Pravinbhai Bhatt (BioSystems Engineering And Control (BiSECt) Lab, Department Of Biotechnology; Wadhwani School Of Data Science And AI, Indian Institute Of Technology (IIT) Madras, Tamil Nadu, India; The Centre For Integrative Biology And Systems MedicinE (IBSE), IIT Madras, Chennai, Tamil Nadu, India), AAAI 2026
"Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds", Hong Ye Tan (University Of California, Los Angeles; University Of Cambridge), Subhadip Mukherjee (Indian Institute Of Technology Kharagpur), Junqi Tang (University Of Birmingham), Carola-Bibiane Schönlieb (University Of Cambridge), AAAI 2026
"BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract)", Mahi Mann (Indraprastha Institute Of Information Technology Delhi (IIIT-Delhi)), Avinash Anand (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), Rajiv Ratn Shah (Department Of Computer Science And Engineering, IIIT Delhi, India), AAAI 2026
"Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract)", Rohan Saha (IIT Madras Zanzibar), Tushar Shinde (IIT Madras Zanzibar), AAAI 2026
"ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution", Anil Sharma (Samsung R&D Institute India - Bangalore), Gunturi Venkata Sai Phani Kiran (Samsung R&D Institute India - Bangalore), Jayesh Rajkumar Vachhani (Samsung R&D Institute India - Bangalore), Sourabh Vasant Gothe (Samsung R&D Institute India - Bangalore), Ayon Chattopadhyay (Samsung R&D Institute India - Bangalore), Yashwant Saini (Samsung R&D Institute India - Bangalore), Parameswaranath Vadackupurath Mani (Samsung R&D Institute India - Bangalore), Barath Raj Kandur Raja (Samsung R&D Institute India - Bangalore), AAAI 2026
"Convex Clustering Redefined: Robust Learning with the Median of Means Estimator", Koustav Chowdhury (Indian Statistical Institute, Kolkata), Bibhabasu Mandal (Indian Statistical Institute, Kolkata), Sourav De (Indian Statistical Institute, Kolkata), Sagar Ghosh (The University Of Texas At Austin), Swagatam Das (Indian Statistical Institute), Debolina Paul (University Of Oxford), Saptarshi Chakraborty (University Of Michigan), AAAI 2026
"Covariance Scattering Transforms", Andrea Cavallo (Delft University Of Technology, Delft, Netherlands), Ayushman Raghuvanshi (Indian Institute Of Science, Bangalore, India), Sundeep Prabhakar Chepuri (Indian Institute Of Science, Bangalore, India), Elvin Isufi (Delft University Of Technology, Delft, Netherlands), AAAI 2026
"CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning", Utsav Singh (Indian Institute Of Technology (IIT), Kanpur), Vinay P. Namboodiri (University Of Bath), AAAI 2026
"Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation", Sofia Jamil (Indian Institute Of Technology Patna, India), Kotla Sai Charan (Indian Institute Of Technology Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, India), Koustava Goswami (Adobe Systems), Joseph K J (Adobe Systems), AAAI 2026
"DDIN: Reinforcement Learning with Asymmetric GNNs for Dismantling Directed Interdependent Networks (Student Abstract)", Soumyajit Dev (Indian Statistical Institute Kolkata), Malay Bhattacharyya (Indian Statistical Institute Kolkata), AAAI 2026
"Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)", Nipun Misra (Vellore Institute Of Technology), Vikranth Udandarao (Indraprastha Institute Of Information Technology Delhi), AAAI 2026
"DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization", Renjith Prasad Kaippilly Mana (University Of South Carolina), Abhilekh Borah (Manipal University Jaipur), Hasnat Md Abdullah (Texas A&M University), Chathurangi Shyalika (University Of South Carolina), Gurpreet Singh (University Of South Carolina), Ritvik Garimella (University Of South Carolina), Rajarshi Roy (Kalyani Government Engineering College), Harshul Raj Surana (University Of South Carolina), Nasrin Imanpour (University Of South Carolina), Suranjana Trivedy (University Of South Carolina), Amit Sheth (University Of South Carolina), Amitava Das (BITS Pilani, Goa), AAAI 2026
"DP-NCB: Privacy Preserving Fair Bandits", Dhruv Sarkar (Indian Institute Of Technology Kharagpur), Nishant Pandey (Indian Institute Of Technology Kanpur), Sayak Ray Chowdhury (Indian Institute Of Technology Kanpur), AAAI 2026
"EvalQAG: A Framework for Automatic Complex QA Generation and a Benchmark QA Dataset for Policy Documents", Kirtan Brijeshbhai Soni (Dhirubhai Ambani University), Krish Rupapara (Dhirubhai Ambani University), Arpit Rana (Smart Energy Learning Centre, Dhirubhai Ambani University), Ghanshyam Verma (Insight Research Ireland Centre For Data Analytics, Data Science Institute, University Of Galway), Paul Buitelaar (Insight Research Ireland Centre For Data Analytics, Data Science Institute, University Of Galway), AAAI 2026
"Exploiting Graph-Based Structural Priors for Visual Recognition", Depanshu Sani (Indraprastha Institute Of Information Technology Delhi, India), AAAI 2026
"Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection", Tanusree Ghosh (Indian Institute Of Engineering Science And Technology, Shibpur), AAAI 2026
"Exposing DeepFakes via Hyperspectral Domain Mapping (Student Abstract)", Aditya Mehta (Birla Institute Of Technology And Science, Pilani), Swarnim Chaudhary (Birla Institute Of Technology And Science, Pilani), Pratik Narang (Birla Institute Of Technology And Science, Pilani), Jagat Sesh Challa (Birla Institute Of Technology And Science, Pilani), AAAI 2026
"Facilitating Early Maladaptive Schema–Guided Polite and Empathetic Psychotherapeutic Support: An LLM-Driven MoE-RL-Based Dialogue System", Priyanshu Priya (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), Asif Ekbal (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), AAAI 2026
"Factuality Evaluation Using Reasoning and World Modeling", Sachin Vashistha (Indian Institute Of Technology, Kharagpur), AAAI 2026
"Fair Societies: Algorithms for House Allocations", Hadi Hosseini (Pennsylvania State University, USA), Sanjukta Roy (Indian Statistical Institute, Kolkata), Aditi Sethia (Indian Institute Of Science, Bangalore), AAAI 2026
"Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)", Suraj Prasad (Indian Institute Of Technology Bombay), Navyansh Mahla (Indian Institute Of Technology Bombay), Sunny Gupta (Indian Institute Of Technology Bombay), Amit Sethi (Indian Institute Of Technology Bombay), AAAI 2026
"FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction", Guan Yuan Tan (Monash University, Malaysia), Ngoc Tuan Vu (Monash University, Malaysia), Arghya Pal (Monash University, Malaysia), Sailaja Rajanala (Monash University, Malaysia), Raphael C W Phan (Monash University, Malaysia), Mettu Srinivas (National Institute Of Technology Warangal, India), Chee-Ming Ting (Monash University, Malaysia), AAAI 2026
"Fusing Time-Domain and Constellation Views: A Multimodal MAE for Wireless Signals (Student Abstract)", Agniva Banerjee (Indian Institute Of Science Education And Research Bhopal), Arijit Sen (Indian Institute Of Science Education And Research Bhopal), AAAI 2026
"GRIM: Task-Oriented Grasping with Conditioning on Generative Examples", Shailesh Shailesh (Indian Institute Of Technology Dhanbad), Alok Raj (Indian Institute Of Technology Dhanbad), Nayan Kumar (Indian Institute Of Technology Dhanbad), Priya Shukla (Indian Institute Of Information Technology Allahabad), Andrew Melnik (Universität Bremen), Michael Beetz (Universität Bremen), Gora Chand Nandi (Indian Institute Of Information Technology, Allahabad.), AAAI 2026
"Group Fair Matchings Using Convex Cost Functions", Atasi Panda (Indian Institute Of Science), Harsh Sharma (Chennai Mathematical Institute), Anand Louis (Indian Institute Of Science), Prajakta Nimbhorkar (Chennai Mathematical Institute), AAAI 2026
"Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification", Abhipsa Basu (Indian Institute Of Science, Bangalore), Aviral Gupta (BITS Pilani), Abhijnya Bhat (Stanford University), Venkatesh Babu Radhakrishnan (Indian Institute Of Science, Bangalore), AAAI 2026
"How Good Are Inducing Points for Dataset Distillation? (Student Abstract)", Shrutimoy Das (Indian Institute Of Technology Gandhinagar), AAAI 2026
"Hypothesis-Driven Reasoning for Large Language Models", Aakash Kumar Agarwal (Indian Institute Of Technology, Bombay, India), Moyuru Yamada (Fujitsu Research Of India, Bangalore, India), AAAI 2026
"IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract)", Vashu Chauhan (IIIT Delhi, India), Avinash Anand (IIIT Delhi, India; Nvidia AI Center, SiT, Singapore), Manisha Luthra (Technical University Of Darmstadt, Germany), Uelison Jean Lopes Dos Santos (Technical University Of Darmstadt, Germany), Carsten Binnig (Technical University Of Darmstadt, Germany), Rajiv Ratn Shah (IIIT Delhi, India), AAAI 2026
"Inference Offloading for Cost-Sensitive Binary Classification at the Edge", Vishnu Narayanan Moothedath (Information Science And Engineering, KTH Royal Institute Of Technology, Stockholm, Sweden), Umang Agarwal (Electrical Engineering, Indian Institute Of Technology Bombay, Mumbai, India), Umeshraja N (Electrical Engineering, Indian Institute Of Technology Bombay, Mumbai, India), James Richard Gross (Information Science And Engineering, KTH Royal Institute Of Technology, Stockholm, Sweden), Jaya Prakash Champati (Computer Science, University Of Victoria, Victoria, Canada), Sharayu Moharir (Electrical Engineering, Indian Institute Of Technology Bombay, Mumbai, India), AAAI 2026
"Instance Dependent Testing of Samplers Using Interval Conditioning", Rishiraj Bhattacharyya (University Of Birmingham), Sourav Chakraborty (Indian Statistical Institute), Yash Pote (National University Of Singapore), Uddalok Sarkar (Indian Statistical Institute), Sayantan Sen (National University Of Singapore), AAAI 2026
"Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks", Govind Waghmare (Mastercard), Srini Rohan Gujulla Leel (Mastercard), Nikhil Tumbde (Mastercard), Sumedh B G (Mastercard), Sonia Gupta (Mastercard), Srikanta Bedathur (Indian Institute Of Technology, Delhi), AAAI 2026
"LaFINet: Laplacian-Based Frequency Injection Network for Camouflage Object Detection (Student Abstract)", Aravinthakshan A S (Manipal Institute Of Technology, Manipal Academy Of Higher Education), Aditya Prashant Naidu (Manipal Institute Of Technology, Manipal Academy Of Higher Education), Aadiv Rath (Manipal Institute Of Technology, Manipal Academy Of Higher Education), AAAI 2026
"Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework", Diego Ortego (NielsenIQ), Marlon Rodríguez (Universidad Autónoma De Madrid), Mario Almagro (NielsenIQ), Kunal Dahiya (IIT Delhi), David Jimenez (NielsenIQ), Juan C. SanMiguel (Universidad Autónoma De Madrid), AAAI 2026
"Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge", Vipul Kumar Singh (Department Of Electrical Engineering, Indian Institute Of Technology, Delhi, India), Jyotismita Barman (Department Of Electrical Engineering, Indian Institute Of Technology, Delhi, India), Sandeep Kumar (Department Of Electrical Engineering, Indian Institute Of Technology, Delhi, India; Yardi School Of Artificial Intelligence, Indian Institute Of Technology, Delhi, India; Bharti School Of Telecommunication Technology And Management, Indian Institute Of Technology, Delhi, India; Biofin Capital, Princeton, New Jersey, United States Of America), Tapan K. Gandhi (Department Of Electrical Engineering, Indian Institute Of Technology, Delhi, India; Yardi School Of Artificial Intelligence, Indian Institute Of Technology, Delhi, India; Bharti School Of Telecommunication Technology And Management, Indian Institute Of Technology, Delhi, India), Jayadeva (Department Of Electrical Engineering, Indian Institute Of Technology, Delhi, India; Yardi School Of Artificial Intelligence, Indian Institute Of Technology, Delhi, India), AAAI 2026
"Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract)", Ganesh Sahadeo Meshram (Department Of Mechanical Engineering, IIT Kharagpur), Partha Pratim Chakrabarti (Department Of Computer Science & Engineering, IIT Kharagpur), Suman Chakraborty (Department Of Mechanical Engineering, IIT Kharagpur), AAAI 2026
"Learning Through Concepts: Hierarchies, Logic and Reasoning", Deepika SN Vemuri (Indian Institute Of Technology, Hyderabad), AAAI 2026
"Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs", Aritra Banik (National Institute Of Science, Education And Research, An OCC Of Homi Bhabha National Institute, Bhubaneswar, India), Mano Prakash Parthasarathi (North Carolina State University, Raleigh, NC, USA), Venkatesh Raman ((Retd) The Institute Of Mathematical Sciences, HBNI, Chennai, India), Diya Roy (National Institute Of Science, Education And Research, An OCC Of Homi Bhabha National Institute, Bhubaneswar, India), Abhishek Sahu (National Institute Of Science, Education And Research, An OCC Of Homi Bhabha National Institute, Bhubaneswar, India), AAAI 2026
"Listen like a Teacher: Mitigating Whisper Hallucinations Using Adaptive Layer Attention and Knowledge Distillation", Kumud Tripathi (Sony Research India), Aditya Srinivas Menon (Sony Research India), Aman Gaurav (Sony Research India), Raj Prakash Gohil (Sony Research India), Pankaj Wasnik (Sony Research India), AAAI 2026
"LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract)", Gokaramaiah Thota (Indian Institute Of Information Technology Design And Manufacturing Kurnool, Kurnool.), Nagaraju K (Indian Institute Of Information Technology Design And Manufacturing Kurnool, Kurnool.), Sathya Babu Korra (Indian Institute Of Information Technology Design And Manufacturing Kurnool, Kurnool.), AAAI 2026
"Multimodal Digital Phenotyping for Early Prediction of Manic Episodes Through Keystroke Dynamics and Circadian Pattern Analysis", Krish Bhatnagar (Birla Institute Of Technology And Science (BITS) Pilani), AAAI 2026
"Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)", Pirzada Suhail (Indian Institute Of Technology Bombay), Rehna Afroz Shaik (Indian Institute Of Technology Bombay), Gouranga Bala (Indian Institute Of Technology Bombay), Amit Sethi (Indian Institute Of Technology Bombay), AAAI 2026
"NoMoColor: Unified Noise Modulation for Enhanced Diffusion-based Image Colorization (Student Abstract)", Ankan Deria (Mohamed Bin Zayed University Of Artificial Intelligence; Jio University), Dwarikanath Mahapatra (Khalifa University), Murari Mondal (Kalinga Institute Of Industrial Technology), Sudipta Roy (Jio University), AAAI 2026
"NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening", Misaal Khan (Indian Institute Of Technology, Jodhpur - All India Institute Of Medical Sciences, Jodhpur Joint Program), Mayank Vatsa (Indian Institute Of Technology Jodhpur, India), Kuldeep Singh (All India Institute Of Medical Sciences Jodhpur), Richa Singh (Indian Institute Of Technology Jodhpur, India), AAAI 2026
"O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model", Rishi Gupta (Indian Institute Of Science), Mukilan Karuppasamy (Indian Institute Of Science), Shyam Marjit (Indian Institute Of Science), Aditay Tripathi (Indian Institute Of Science), Anirban Chakraborty (Indian Institute Of Science), AAAI 2026
"On Condorcet’s Jury Theorem with Abstention", Reshef Meir (Technion, Technion), Ganesh Ghalme (Indian Institute Of Technology Hyderabad), AAAI 2026
"On Robustness of Linear Classifiers to Targeted Data Poisoning", Nakshatra Gupta (Tata Consultancy Services Limited, India), Sumanth Prabhu S (Tata Consultancy Services Limited, India), Supratik Chakraborty (Indian Institute Of Technology Bombay), Venkatesh R (Tata Consultancy Services Limited, India), AAAI 2026
"Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning", Ankur Naskar (Indian Institute Of Science, Bengaluru), Gugan Thoppe (Indian Institute Of Science, Bengaluru), Vijay Gupta (Purdue University), AAAI 2026
"PatientVLM Meets DocVLM: Pre-Consultation Dialogue Between Vision-Language Models for Efficient Diagnosis", K Lokesh (Indian Institute Of Technology Jodhpur), Abhirama Subramanyam Penamakuri (Indian Institute Of Technology Jodhpur), Uday Agarwal (Indian Institute Of Technology Jodhpur), Apoorva Challa (All India Institute Of Medical Sciences, New Delhi), Shreya K Gowda (All India Institute Of Medical Sciences, New Delhi), Somesh Gupta (All India Institute Of Medical Sciences, New Delhi), Anand Mishra (Indian Institute Of Technology Jodhpur), AAAI 2026
"PhyPlan: Learning to Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation", Ankit Kanwar (Indian Institute Of Technology, Delhi), Hartej Soin (Indian Institute Of Technology, Delhi), Abhinav Barnawal (Indian Institute Of Technology, Delhi), Mudit Chopra (Indian Institute Of Technology, Delhi), Harshil Vagadia (Indian Institute Of Technology, Delhi), Tamajit Banerjee (Indian Institute Of Technology, Delhi), Shreshth Tuli (Indian Institute Of Technology, Delhi), Rohan Paul (Indian Institute Of Technology, Delhi), Souvik Chakraborty (Indian Institute Of Technology, Delhi), AAAI 2026
"Policy Newton Methods for Distortion Riskmetrics", Soumen Pachal (Tata Consultancy Services Limited, India), Mizhaan Prajit Maniyar (Google), Prashanth L. A. (Indian Institute Of Technology, Madras), AAAI 2026
"Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning", Avik Kar (Indian Institute Of Science), Rahul Singh (Indian Institute Of Science), AAAI 2026
"PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics", Sachin Vashistha (Indian Institute Of Technology Kharagpur, India), Aryan Bibhuti (Indian Institute Of Technology Kharagpur, India), Atharva Naik (LTI, Carnegie Mellon University), Martin Tutek (University Of Zagreb), Somak Aditya (Indian Institute Of Technology Kharagpur, India), AAAI 2026
"qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs", Shreya Shukla (Mercedes-Benz Research And Development India), Aditya Sriram (Mercedes-Benz Research And Development India), Milinda Kuppur Narayanaswamy (Mercedes-Benz Research And Development India), Hiteshi Jain (Mercedes-Benz Research And Development India), AAAI 2026
"QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion", Sahil Mishra (Department Of Electrical Engineering, Indian Institute Of Technology Delhi), Avi Patni (Department Of Mathematics, Indian Institute Of Technology Delhi), Niladri Chatterjee (Department Of Mathematics, Indian Institute Of Technology Delhi), Tanmoy Chakraborty (Department Of Electrical Engineering, Indian Institute Of Technology Delhi), AAAI 2026
"SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories", Returaj Burnwal (Indian Institute Of Technology Madras, India), Nirav Pravinbhai Bhatt (Indian Institute Of Technology Madras, India), Balaraman Ravindran (Indian Institute Of Technology Madras, India), AAAI 2026
"SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages", Prachuryya Kaushik (Indian Institute Of Technology Guwahati, Assam, India), Ashish Anand (Indian Institute Of Technology Guwahati, Assam, India), AAAI 2026
"Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization", Zeel B Patel (Indian Institute Of Technology Gandhinagar), Vinayak Rana (Indian Institute Of Technology Gandhinagar), Nipun Batra (Indian Institute Of Technology Gandhinagar), AAAI 2026
"Self-Adaptive Graph Mixture of Models", Mohit Meena (Fujitsu Research Of India, Bangalore), Yash Punjabi (Fujitsu Research Of India, Bangalore), Abhishek A (Fujitsu Research Of India, Bangalore), Vishal Sharma (Fujitsu Research Of India, Bangalore), Mahesh Chandran (Fujitsu Research Of India, Bangalore), AAAI 2026
"SymGS: Leveraging Reflective Symmetries for 3DGS Compression", Keshav Gupta (International Institute Of Information Technology, Hyderabad), Akshat Sanghvi (International Institute Of Information Technology, Hyderabad), Shreyas Reddy Palley (International Institute Of Information Technology, Hyderabad), Astitva Srivastava (International Institute Of Information Technology, Hyderabad), Charu Sharma (International Institute Of Information Technology, Hyderabad), Avinash Sharma (Indian Institute Of Technology, Jodhpur), AAAI 2026
"Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances", Rishu Kumar Singh (Indian Institute Of Technology Patna), Navneet Shreya (National Institute Of Technology Patna), Sarmistha Das (Indian Institute Of Technology Patna), Apoorva Singh (Fondazione Bruno Kessler), Sriparna Saha (Indian Institute Of Technology Patna), AAAI 2026
"Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection", Yogesh Kumar (Indian Institute Of Technology, Jodhpur), Anand Mishra (Indian Institute Of Technology, Jodhpur), AAAI 2026
"The Confidence Trap: Gender Bias and Predictive Certainty in LLMs", Ahmed Sabir (University Of Tartu, Estonia), Markus Kängsepp (University Of Tartu, Estonia), Rajesh Sharma (University Of Tartu, Estonia; Plaksha University, India), AAAI 2026
"Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract)", Ashim Dhor (Indian Institute Of Science Education And Research Bhopal, India), Smily Bharadwaj (Indian Institute Of Science Education And Research Bhopal, India), AAAI 2026
"Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark", Minghao Shao (NYU Tandon School Of Engineering), Nanda Rani (Indian Institute Of Technology Kanpur), Kimberly Milner (NYU Tandon School Of Engineering), Haoran Xi (NYU Tandon School Of Engineering), Meet Udeshi (NYU Tandon School Of Engineering), Saksham Aggarwal (NYU Tandon School Of Engineering), Venkata Sai Charan Putrevu (NYU Tandon School Of Engineering), Sandeep K. Shukla (International Institute Of Information Technology Hyderabad), Prashanth Krishnamurthy (NYU Tandon School Of Engineering), Farshad Khorrami (NYU Tandon School Of Engineering), Ramesh Karri (NYU Tandon School Of Engineering), Muhammad Shafique (NYU Abu Dhabi), AAAI 2026
"Tractable Sharpness-Aware Learning of Probabilistic Circuits", Hrithik Suresh (Mehta Family School Of Data Science And Artificial Intelligence, Department Of Data Science, Indian Institute Of Technology Palakkad, Kerala, India), Sahil Sidheekh (Erik Jonsson School Of Engineering & Computer Science, The University Of Texas At Dallas, Richardson, TX, USA), Vishnu Shreeram M P (Mehta Family School Of Data Science And Artificial Intelligence, Department Of Data Science, Indian Institute Of Technology Palakkad, Kerala, India), Sriraam Natarajan (Erik Jonsson School Of Engineering & Computer Science, The University Of Texas At Dallas, Richardson, TX, USA), Narayanan Chatapuram Krishnan (Mehta Family School Of Data Science And Artificial Intelligence, Department Of Data Science, Indian Institute Of Technology Palakkad, Kerala, India), AAAI 2026
"TWiST: Temporal Weakly-Supervised Triplets Recognition in Surgical Videos (Student Abstract)", Pranshu Danani (Indian Institute Of Technology, Roorkee), Yash Bansal (Indian Institute Of Technology, Roorkee), Parshiv Kapoor (Indian Institute Of Technology, Roorkee), AAAI 2026
"UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning", Ankit Dhiman (Indian Institute Of Science, Bangalore; Samsung R&D Institute India - Bangalore), Srinath R (Indian Institute Of Science, Bangalore), Jaswanth Reddy (Indian Institute Of Science, Bangalore), Lokesh R Boregowda (Samsung R&D Institute India - Bangalore), Venkatesh Babu Radhakrishnan (Indian Institute Of Science, Bangalore), AAAI 2026
"UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract)", Sunny Gupta (Indian Institute Of Technology Bombay, Mumbai), Nikita Jangid (Indian Institute Of Technology Bombay, Mumbai), Amit Sethi (Indian Institute Of Technology Bombay, Mumbai), AAAI 2026
"VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging", Dwarikanath Mahapatra (Department Of Computer Science, Khalifa University, Abu Dhabi, UAE), Behzad Bozorgtabar (University Of Southern Denmark, Odense, Denmark; EPFL, Lausanne, Switzerland), Sudipta Roy (Jio University, Navi Mumbai, India), Imran Razzak (MBZUAI, Abu Dhabi, UAE), Mauricio Reyes (University Of Bern, Switzerland Dept. Of Radiation Oncology, Inselspital, Bern University Hospital, Switzerland), AAAI 2026
"When Equal Isn’t Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)", Ravada Satyadev (IIIT-Delhi), Aditya Ganesh Kumar (Singapore Institute Of Technology), Avinash Anand (IIIT Delhi), Rajiv Ratn Shah (IIIT Delhi), Zhengkui Wang (Singapore Institute Of Technology), Mukesh Prasad (UTS Australia), AAAI 2026
"WingBeats and Snapshots: Fusing Sound and Vision for Mosquito Monitoring (Student Abstract)", Ahana Chanda (Trustworthy BiometraVision Lab, IISER Bhopal), Akshay Agarwal (Trustworthy BiometraVision Lab, IISER Bhopal), AAAI 2026
"X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and a Novel LLM-Consulted Explanation Framework", Mohammad Zia Ur Rehman (Indian Institute Of Technology Indore), Sai Kartheek Reddy Kasu (Indian Institute Of Information Technology Dharwad), Shashivardhan Reddy Koppula (Indian Institute Of Technology Indore), Sai Rithwik Reddy Chirra (Arizona State University), Shwetank Shekhar Singh (Indian Institute Of Technology Mandi), Nagendra Kumar (Indian Institute Of Technology Indore), AAAI 2026
"Zero-Shot Vision Language Reasoning via Dual-layer Scene Graph Chain of Thoughts (Student Abstract)", Yash Bansal (Indian Institute Of Technology, Roorkee), Parshiv Kapoor (Indian Institute Of Technology, Roorkee), Agam Pandey (Indian Institute Of Technology, Roorkee), AAAI 2026
"$\boldsymbol{\partial^\infty}$-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids", Navami Kairanda (Saarland Informatics Campus, Max Planck Institute For Informatics, Germany), Shanthika Naik (LIRIS, CNRS, France), Marc Habermann (Saarland Informatics Campus, Max-Planck Institute, Germany), Avinash Sharma (Indian Institute Of Technology, Jodhpur, India), Christian Theobalt (Saarbruecken Research Center For Visual Computing, Interaction, And Artificial Intellligence, Germany), Vladislav Golyanik (Saarland Informatics Campus, Max-Planck Institute For Informatics, Germany), ICLR 2026
"A Benchmark for Deep Information Synthesis", Debjit Paul (Microsoft Research, India), Daniel Murphy (Imperial College London, United Kingdom), Milan Gritta (Tether Data, United Kingdom), Ronald Cardenas (Huawei Technologies Ltd., United Kingdom), Victor Prokhorov (University Of Edinburgh, University Of Edinburgh), Lena Sophia Bolliger (University Of Zurich, Switzerland), Aysim Toker (Huawei Technologies Ltd., United Kingdom), Roy Miles (Huawei Technologies Ltd., United Kingdom), Andreea-Maria Oncescu (Huawei Technologies Ltd., United Kingdom), Jasivan Alex Sivakumar (University Of Sheffield, United Kingdom), Philipp Borchert (Huawei Technologies Ltd., United Kingdom), Ismail Elezi (Huawei Technologies Ltd., United Kingdom), Meiru Zhang (University Of Cambridge, United Kingdom), Ka Yiu Lee (Huawei Technologies Ltd., United Kingdom), Guchun Zhang (Huawei Noah`s Ark Lab, United Kingdom), Jun Wang (University College London, United Kingdom), Gerasimos Lampouras (Huawei Technologies Ltd.), ICLR 2026
"A Dense Subset Index for Collective Query Coverage", Kartik Nair (Carnegie Mellon University, United States), Pritish Chakraborty (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Atharva Abhijit Tambat (Unknown), Indradyumna Roy (Indian Institute Of Technology Bombay, India), Soumen Chakrabarti (Indian Institute Of Technology Bombay), Anirban Dasgupta (IIT Gandhinagar), Abir De (Indian Institute Of Technology Bombay,, India), ICLR 2026
"A Noise is Worth Diffusion Guidance", Donghoon Ahn (University Of California, Berkeley, United States), Jiwon Kang (Korea Advanced Institute Of Science & Technology, South Korea), Sanghyun Lee (Korea Advanced Institute Of Science & Technology, South Korea), Jaewon Min (Korea Advanced Institute Of Science & Technology, South Korea), Minjae Kim (Korea Advanced Institute Of Science & Technology, South Korea), Wooseok Jang (Korea Advanced Institute Of Science & Technology, South Korea), Hyoungwon Cho (Samsung Electronics, South Korea), Sayak Paul (Hugging Face, India), SeonHwa Kim (Korea University, South Korea), Eunju Cha (Sookmyung Women`s University, South Korea), Kyong Hwan Jin (Korea University, South Korea), Seungryong Kim (Korea Advanced Institute Of Science & Technology, South Korea), ICLR 2026
"Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models", Kailash Gopal Darmasubramanian (Indian Institute Of Technology, Madras, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Akash Pareek (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Arindam Khan (Indian Institute Of Science,, Germany), Arpit Agarwal (IIT Bombay, India), ICLR 2026
"Automated Stateful Specialization for Adaptive Agent Systems", Myan Vu (University Of Auckland, NZ), Harrish Ayyanar (University College London, University Of London, United Kingdom), PANG JIANG (Algoverse AI Research, United States), Anwiketh Reddy (Northeastern University, United States), Mayank Goel (Lossfunk, India), ICLR 2026
"Can Speech LLMs Think while Listening?", Yi-Jen Shih (Unknown), Desh Raj (NVIDIA, United States), Chunyang Wu (Facebook), Wei Zhou (Google, United States), SK Bong (Facebook, United States), Yashesh Gaur (Microsoft, United States), Jay Mahadeokar (Indian Institute Of Technology, Kanpur, Dhirubhai Ambani Institute Of Information And Communication Technology), Ozlem Kalinli (University Of Southern California), Mike Seltzer (Meta), ICLR 2026
"Certified Evaluation of Model-Level Explanations for Graph Neural Networks", Sayan Saha (Indian Statistical Institute, Kolkata, India), Sanghamitra Bandyopadhyay (Indian Statistical Institute, India), ICLR 2026
"CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITY", Joy Dhar (Indian Institute Of Technology Ropar, India), Song Xia (Nanyang Technological University, Singapore), Manish Kumar Pandey (RoentGen Health, India), Maryam Haghighat (Shahid Beheshti University, IR), Azadeh Alavi (Royal Melbourne Institute Of Technology, Australia), Ferdous Sohel (Murdoch University, Australia), Wenyu Zhang (Center For AI Safety, United States), Nayyar Zaidi (Deakin University, Australia), ICLR 2026
"Characterizing Deep Research: A Benchmark and Formal Definition", Abhinav Java (Microsoft, India), Ashmit Khandelwal (Microsoft, India), Sukruta Prakash Midigeshi (Indian Institute Of Technology, Gandhinagar), Aaron Halfaker (University Of Minnesota - Twin Cities), Amit Deshpande (Microsoft Research, India), Navin Goyal (Microsoft), Ankur Gupta (Microsoft, United States), Nagarajan Natarajan (Microsoft, India), Amit Sharma (Microsoft Research, India), ICLR 2026
"CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs", Niloofar Mireshghallah (Unknown), Neal Mangaokar (Meta, United States), Narine Kokhlikyan (Meta, United States), Arman Zharmagambetov (Meta AI (FAIR), United States), Manzil Zaheer (Zaheer, India), Saeed Mahloujifar (Meta), Kamalika Chaudhuri (UC San Diego, University Of California, San Diego), ICLR 2026
"Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models", Yukun Huang (Duke University, United States), Sanxing Chen (Duke University, United States), Jian Pei (Duke University), Manzil Zaheer (Zaheer, India), Bhuwan Dhingra (Apple, United States), ICLR 2026
"Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells", Mattie Ji (University Of Pennsylvania, University Of Pennsylvania, United States), Indradyumna Roy (Indian Institute Of Technology Bombay, India), Vikas K Garg (Aalto University, FI), ICLR 2026
"Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles", Namrita Varshney (Indian Institute Of Technology, Bombay, India), Ashutosh Gupta (IIT Bombay, India), Arhaan Ahmad (Indian Institute Of Technology, Bombay, India), Tanay Vineet Tayal (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), S. Akshay (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), ICLR 2026
"Efficient algorithms for Incremental Metric Bipartite Matching", Ritesh Seth (Indraprastha Institute Of Information Technology, Delhi, India), Mrinal Garg (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Sujoy Bhore (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Sharath Raghvendra (North Carolina State University, United States), Syamantak Das (Indraprastha Institute Of Information Technology, Delhi, India), ICLR 2026
"Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo", Advait Parulekar (Unknown), Litu Rout (Google, United States), Karthikeyan Shanmugam (Google Deepmind, India), Sanjay Shakkottai (University Of Texas At Austin, United States), ICLR 2026
"Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection", Kumar Shubham (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Nishant Sharma (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Karn Tiwari (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Prathosh AP (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), ICLR 2026
"Exchangeability of GNN Representations with Applications to Graph Retrieval", Kartik Nair (Carnegie Mellon University, United States), Indradyumna Roy (Indian Institute Of Technology Bombay, India), Soumen Chakrabarti (Indian Institute Of Technology Bombay), Anirban Dasgupta (IIT Gandhinagar), Abir De (Indian Institute Of Technology Bombay,, India), ICLR 2026
"f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness", Subhodip Panda (Indian Institute Of Science, India), Dhruv Tarsadiya (University Of Southern California), Shashwat Sourav (Washington University, Saint Louis, United States), Prathosh AP (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Sai Praneeth Karimireddy (University Of Southern California, United States), ICLR 2026
"Factuality Matters: When Image Generation and Editing Meet Structured Visuals", Le Zhuo (Krea, United States), Songhao Han (Beihang University, China), Yuandong Pu (Shanghai Jiaotong University, China), Boxiang Qiu (Beihang University , China), Sayak Paul (Hugging Face, India), Yue Liao (National University Of Singapore, Singapore), Yihao Liu (Shanghai Artificial Intelligence Laboratory, China), Jie Shao (Bytedance, China), Xi Chen (The University Of Hong Kong, University Of Hong Kong, Hong Kong), Si Liu (Beihang University, China), Hongsheng Li (The Chinese University Of Hong Kong, China), ICLR 2026
"Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization", Jianan Zhao (Université De Montréal, Canada), Zhihao Zhan (Mila - Quebec Artificial Intelligence Institute, Canada), Narendra Chaudhary (Intel), Xinyu Yuan (Montreal Institute For Learning Algorithms, University Of Montreal, Université De Montréal), Zuobai Zhang (Mila - Université De Montréal, Canada), Qian Cong (University Of Texas Southwestern Medical Center, United States), Jian Zhou (University Of Texas Southwestern Medical Center, United States), Sanchit Misra (Intel, India), Jian Tang (HEC Montreal), ICLR 2026
"FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference", Divya Jyoti Bajpai (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Dhruv Bhardwaj (Amazon, India), Soumya Roy (Amazon, United States), Tejas Duseja (Amazon, India), Harsh Agarwal (Amazon, India), Aashay Sandansing (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Manjesh Kumar Hanawal (Indian Institute Of Technology Bombay, India), ICLR 2026
"Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs", Shreyas Singh (Fractal Analytics , India), Kunal Singh (Fractal Analytics, India), Pradeep Moturi (Fractal AI, India), ICLR 2026
"FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching", Divya Jyoti Bajpai (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Shubham Agarwal (University Of California, Berkeley, United States), Apoorv Saxena (Unknown), Kuldeep Kulkarni (Adobe Systems, India), Subrata Mitra (Adobe Systems), Manjesh Kumar Hanawal (Indian Institute Of Technology Bombay, India), ICLR 2026
"FrugalRAG: Less is More in RL Finetuning for Multi-hop Question Answering", Abhinav Java (Microsoft, India), Srivathsan Koundinyan (Microsoft, India), Nagarajan Natarajan (Microsoft, India), Amit Sharma (Microsoft Research, India), ICLR 2026
"GAVEL: Towards Rule-Based Safety through Activation Monitoring", Shir Rozenfeld (Ben Gurion University Of The Negev, Israel), Rahul Pankajakshan (Amrita Vishwa Vidyapeetham (Deemed University), India), Itay Zloczower (Ben Gurion University Of The Negev, Israel), Eyal Lenga (Ben Gurion University Of The Negev, Israel), Gilad Gressel (Amrita Vishwa Vidyapeetham (Deemed University)), Yisroel Mirsky (Ben-Gurion University Of The Negev, Israel), ICLR 2026
"GeoDiv: Framework for Measuring Geographical Diversity in Text-to-Image Models", Abhipsa Basu (Indian Institute Of Science, India), Mohana Singh (Unknown), Shashank Agnihotri (Universität Mannheim, Germany), Margret Keuper (Universität Mannheim, Germany), Venkatesh Babu R (Indian Institute Of Science, India), ICLR 2026
"Graph-Theoretic Intrinsic Reward: Guiding RL with Effective Resistance", Jatin Chauhan (Fujitsu Research And Development Center Co. Ltm., Japan), Shivam Bhardwaj (Fujitsu Research And Development Center Co. Ltm., India), Aditya Saibewar (Fujitsu Research And Development Center Co. Ltm., India), Aditya Ramesh (Fujitsu Research And Development Center Co. Ltm., India), Sadbhavana Babar (Fujitsu Research And Development Center Co. Ltm., India), Manohar Kaul (Fujitsu Research And Development Center Co. Ltm., India), ICLR 2026
"In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations", Mohammad Aflah Khan (EleutherAI, United States), Mahsa Amani (MPI-SWS, Germany), Soumi Das (MPI-SWS, Germany), Bishwamittra Ghosh (MPI-SWS, Germany), Qinyuan Wu (MPI-SWS, Germany), Krishna P. Gummadi (MPI-SWS), Manish Gupta (Microsoft, India), Abhilasha Ravichander (MPI-SWS, Germany), ICLR 2026
"Is Graph Unlearning Ready for Practice? A Benchmark on Efficiency, Utility, and Forgetting", Samyak Jain (Indian Institute Of Technology, Delhi, India), Ronak Kalvani (Indian Institute Of Technology, Delhi, India), Sainyam Galhotra (Cornell University, United States), Sayan Ranu (Indian Institute Of Technology Delhi, India), ICLR 2026
"KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs", Debopam Sanyal (Georgia Institute Of Technology, United States), Anantharaman S. Iyer (Georgia Institute Of Technology, United States), Alind Khare (Microsoft, India), Trisha Jain (Georgia Institute Of Technology, United States), Akshay Jajoo (Cisco, United States), Myungjin Lee (Cisco, United States), James Clayton Kerce (Georgia Institute Of Technology, United States), Alexey Tumanov (Georgia Institute Of Technology, United States), ICLR 2026
"LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis", Md Ahsanul Haque (University Of Texas At El Paso, United States), Ismail Hossain (, University Of Texas At El Paso, United States), Md Mahmuduzzaman Kamol (University Of Texas At El Paso, United States), Md Jahangir Alam (University Of Texas At El Paso, United States), Suresh Kumar Amalapuram (Indian Institute Of Technology–Ropar (IIT–Ropar), India), Sajedul Talukder (, University Of Texas At El Paso, United States), Mohammad Saidur Rahman (University Of Texas At El Paso, United States), ICLR 2026
"MIRACLE: Model-free Imitation and Reinforcement Learning for Adaptive Cut-Selection", Arjun M. (Indian Institute Of Technology, Delhi, India), Rijul Tandon (Indian Institute Of Technology, Madras, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Agam Gupta (Indian Institute Of Technology, Delhi, India), HARIPRASAD KODAMANA (Indian Institute Of Technology, Delhi), Manojkumar Ramteke (Indian Institute Of Technology, Delhi, India), ICLR 2026
"Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds", Sujoy Bhore (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Liana Khazaliya (Technische Universität Wien, AT), Fionn Mc Inerney (Telefonica Scientific Research, Spain), ICLR 2026
"On Discovering Algorithms for Adversarial Imitation Learning", Shashank Reddy Chirra (University Of Oxford, United Kingdom), Jayden Teoh (Google DeepMind, United States), Praveen Paruchuri (IIIT Hyderabad), Pradeep Varakantham (Singapore Management University, Singapore), ICLR 2026
"Regulating Internal Alignment Flows for Robust Learning Under Spurious Correlations", Rajeev Ranjan Dwivedi (Indian Institute Of Science Education And Research Bhopal, India), Mohammedkaif Mohammedrafiq Kalagond (Indian Institute Of Science Education And Research, India), Niramay M.Patel (Indian Institute Of Science Education And Research, India), Vinod K. Kurmi (IISER Bhopal , India), ICLR 2026
"Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees", Sawan Kumar (Indian Institute Of Technology, Delhi, India), Souvik Chakraborty (Indian Institute Of Technology, Delhi, India), ICLR 2026
"Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning", Nikhil Shivakumar Nayak (Fastino Labs, United States), Krishnateja Killamsetty (Amazon, United States), Ligong Han (Mohamed Bin Zayed University Of Artificial Intelligence, United States), Abhishek Bhandwaldar (International Business Machines), Prateek Chanda (Indian Institute Of Technology, Bombay, India), Kai Xu (MIT-IBM Watson AI Lab), Oleg Silkin (Red Hat, United States), Mustafa Eyceoz (IBM, International Business Machines, United States), Hao Wang (RedHat AI & MIT-IBM Watson AI Lab, United States), Aldo Pareja (Delft University Of Technology), Akash Srivastava (International Business Machines, United States), ICLR 2026
"SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG", Xuechen Zhang (University Of Michigan - Ann Arbor, United States), Koustava Goswami (Adobe Systems, India), Samet Oymak (Unknown), Jiasi Chen (University Of Michigan - Ann Arbor, United States), Nedim Lipka (Adobe Systems, United States), ICLR 2026
"Social Agents: Collective Intelligence Improves LLM Predictions", Aanisha Bhattacharyya (State University Of New York At Buffalo, United States), Abhilekh Borah (Manipal University Jaipur, India), Yaman Kumar Singla (Unknown), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, India), Changyou Chen (State University Of New York At Buffalo, United States), Balaji Krishnamurthy (Machlear Technologies Pvt. Ltd, India), ICLR 2026
"SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests", Punya Syon Pandey (University Of Toronto, Canada), Lê Hải Sơn (Toronto Metropolitan University, Canada), Devansh Bhardwaj (Indian Institute Of Technology, Roorkee, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Zhijing Jin (EuroSafeAI, Switzerland), ICLR 2026
"TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning", Jiaru Zou (Department Of Computer Science, University Of Illinois At Urbana-Champaign, United States), Soumya Roy (Amazon, United States), Vinay Kumar Verma (Amazon, India), Ziyi Wang (Purdue University, United States), David Wipf (Amazon AI Research Lab), Pan Lu (Unknown), Sumit Negi (Amazon, United States), James Zou (Stanford University, United States), Jingrui He (University Of Illinois At Urbana-Champaign, United States), ICLR 2026
"Tell me Habibi, is it Real or Fake?", Kartik Kuckreja (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Parul Gupta (Adobe Systems, India), Injy Hamed (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Thamar Solorio (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Muhammad Haris Khan (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Abhinav Dhall (Unknown), ICLR 2026
"Testing Fourier Sparsity via Implicit Sensing", Arijit Ghosh (Indian Statistical Institute, India), Subhamoy Maitra (Indian Statistical Institute, Kolkata, India), Manmatha Roy (Indian Statistical Institute, Kolkata, India), ICLR 2026
"Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions", Shivank Garg (Bespoke Labs, India), Sankalp Mittal (Google, India), Manish Gupta (Microsoft, India), ICLR 2026
"The Art of Scaling Reinforcement Learning Compute for LLMs", Fnu Devvrit (, University Of Texas At Austin), Lovish Madaan (Meta, United Kingdom), Rishabh Tiwari (University Of California, Berkeley, United States), Rachit Bansal (Harvard University, United States), Sai Surya Duvvuri (University Of Texas At Austin, United States), Manzil Zaheer (Zaheer, India), Inderjit S. Dhillon (Google, United States), David Brandfonbrener (Anthropic, United States), Rishabh Agarwal (McGill University, Canada), ICLR 2026
"THE PATH OF LEAST RESISTANCE: GUIDING LLM REASONING TRAJECTORIES WITH PREFIX CONSENSUS", Ishan Jindal (Fujitsu Research, India), Sai Prashanth Akuthota (Samsung R&D Institute INDIA, India), Jayant Taneja (Samsung Research, India), SACHIN DEV SHARMA (Samsung Research Institute- Delhi, India), ICLR 2026
"Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment", Cyrus Cousins (Duke University, United States), Vijay Keswani (Indian Institute Of Technology, Delhi, India), Vincent Conitzer (Carnegie Mellon University, United States), Hoda Heidari (Unknown), Jana Schaich Borg (Duke University, United States), Walter Sinnott-Armstrong (Duke University, United States), ICLR 2026
"TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis", Vijay Ekambaram (International Business Machines, India), Subodh Kumar (International Business Machines, India), Arindam Jati (International Business Machines), Sumanta Mukherjee (International Business Machines, India), Tomoya Sakai (International Business Machines, Japan), Pankaj Dayama (International Business Machines, India), Wesley M. Gifford (IBM Research, United States), Jayant Kalagnanam (IBM TJ Watson Research Center, United States), ICLR 2026
"Universal Model Routing for Efficient LLM Inference", Wittawat Jitkrittum (Google, United States), Harikrishna Narasimhan (Google, United States), Ankit Singh Rawat (Google, United States), Jeevesh Juneja (Google, India), Congchao Wang (Amazon, United States), Zifeng Wang (Google), Alec Go (Google, United States), Chen-Yu Lee (Google, United States), Pradeep Shenoy (Google, India), Rina Panigrahy (Google), Aditya Krishna Menon (Unknown), Sanjiv Kumar (Google, United States), ICLR 2026
"Welfarist Formulations for Diverse Similarity Search", Siddharth Barman (Indian Institute Of Science, India), Nirjhar Das (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Shivam Gupta (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Kirankumar Shiragur (Microsoft Research, India), ICLR 2026
"Why DPO is a Misspecified Estimator and How to Fix It", Aditya Gopalan (Indian Institute Of Science, India), Sayak Ray Chowdhury (Indian Institute Of Technology, Kanpur, India), Debangshu Banerjee (Indian Institute Of Science, India), ICLR 2026
"Zero-shot Forecasting by Simulation Alone", Boris N. Oreshkin (Amazon, Canada), Mayank Jauhari (Amazon, India), Ravi Kiran Selvam (Unknown), Malcolm Wolff (Amazon, United States), Wenhao Pan (University Of Washington, United States), Shankar Ramasubramanian (Amazon, United States), Kin G. Olivares (Unknown), Tatiana Konstantinova (Amazon, United States), Andres Potapczynski (New York University, United States), Mengfei Cao (Amazon), Dmitry Efimov (Amazon), Michael W. Mahoney (University Of California Berkeley, United States), Andrew Gordon Wilson (New York University, United States), ICLR 2026
"A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets", Tejas Agrawal (Microsoft, India), Vu Le (Microsoft, United States), Sumit Gulwani (Research, Microsoft, United States), Gust Verbruggen (Microsoft), ICML 2026
"A model of errors in transformers", Suvrat Raju (International Centre For Theoretical Sciences, India), Praneeth Netrapalli (Google), ICML 2026
"A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time Series", Kartikay Agrawal (Indian Institute Of Technology, Guwahati, India), Vaishnavi Nagabhushana (Unknown), Abhijeet Vikram (IISER Pune, India), Vedant Sharma (IISER Pune, India), Ayon Borthakur (Indian Institute Of Technology, Guwahati, India), ICML 2026
"Adapting to Evolving Graphs: A Scalable Framework for Dynamic Coarsening", Abhishek Gupta (Indian Institute Of Technology, Delhi, India), Manoj Kumar (Indian Institute Of Technology, Roorkee, India), Sarthak Kumar Singh (Indian Institute Of Technology, Delhi, India), Ujjwal Yadav (Indian Institute Of Technology, Delhi, India), Yifan Sun (State University Of New York, Stony Brook), Sandeep Kumar (Indian Institute Of Technology Delhi, India), ICML 2026
"An Efficient Joint Learning Approach for Item Response Theory", Tanish Agarwal (Indian Institute Of Technology, Bombay, India), Kaustubh Shivshankar Shejole (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Arpit Agarwal (IIT Bombay, India), ICML 2026
"Assistive Prompt Mediation: Evaluating Language Models Under Accessibility Constraints", Priyaranjan Pattnayak (Oracle, United States), Ishan Banerjee (Indian Statistical Institute Bangalore , India), ICML 2026
"Asymptotically Optimal Sequential Testing with Markovian Data", Alhad Sethi (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Kavali Sofia Sagar (Indian Institute Of Technology Hyderabad, India), Shubhada Agrawal (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Debabrota Basu (INRIA, France), P. N. Karthik (Indian Institute Of Technology, Hyderabad, India), ICML 2026
"Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching", Onkar Kishor Susladkar (University Of Illinois At Urbana-Champaign, United States), Tushar Prakash (Sony Research India, India), Gayatri Deshmukh (Unknown), Kiet A. Nguyen (University Of Illinois At Urbana-Champaign, United States), Jiaxun Zhang (University Of Illinois At Urbana-Champaign, United States), Adheesh Sunil Juvekar (University Of Illinois At Urbana-Champaign, United States), Tianshu Bao (Google, United States), Lin Chai (Google, United States), Sparsh Mittal (Indian Institution Technology Roorkee, India), Inderjit S. Dhillon (Google, United States), Ismini Lourentzou (University Of Illinois Urbana - Champaign, United States), ICML 2026
"Beyond First-order Asymptotics in Sequential Mean Testing", VIKAS DEEP (National University Of Singapore, Singapore), Shubhada Agrawal (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), ICML 2026
"Blending Neural Control Density Functions for Stabilization and Safety", Sahil Chaudhary (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Chaitanya Murti (HP Inc, India), Chiranjib Bhattacharyya (Unknown), ICML 2026
"Catch-22: On the Fundamental Tradeoff Between Detectability and Robustness in LLM Watermarking", Kuheli Pratihar (Indian Institute Of Technology Kharagpur, India), Debdeep Mukhopadhyay (Indian Institute Of Technology Kharagpur), ICML 2026
"CLINIC : Evaluating Multilingual Trustworthiness in Language Models for Healthcare", Akash Ghosh (Indian Institute Of Technology, Patna, India), Srivarshinee Sridhar (Research, Microsoft, India), Raghav Kaushik Ravi (Microsoft, IO), Muhsin Muhsin (Indira Gandhi Institute Of Medical Sciences, India), Sriparna Saha (Indian Institute Of Technology Patna, India, India), Chirag Agarwal (University Of Virginia, Charlottesville, United States), ICML 2026
"Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement", Riju Marwah (Eberhard-Karls-Universität Tübingen, Germany), Ritvik Garimella (Unknown), Vishal Pallagani (University Of South Carolina, United States), Atishay Jain (Indian Institute Of Technology, Kanpur, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Michael Charles Stewart (University Of South Carolina, United States), Amit Sheth (Unknown), ICML 2026
"Contextual Slate GLM Bandits with Limited Adaptivity", Tanmay Goyal (Yale University, United States), Sukruta Prakash Midigeshi (Indian Institute Of Technology, Gandhinagar), Gaurav Sinha (Research, Microsoft, India), ICML 2026
"Continual Segmentation under Joint Nonstationarity", Prashant Pandey (Indian Institute Of Technology Delhi,, India), Himanshu Kumar (Indian Institute Of Technology, Delhi, India), Devineni Sri Venkatraya Chowdary (Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), Brejesh Lall (Indian Institute Of Technology Delhi, India), ICML 2026
"Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption", SANTANU DAS (Tata Institute Of Fundamental Research, India), Sagnik Chatterjee (Tata Institute Of Fundamental Research, India), Jatin Batra (Tata Institute Of Fundamental Research, Mumbai), ICML 2026
"DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction", Vansh Ramani (Indian Institute Of Technology, Delhi, India), Har Ashish Arora (Indian Institute Of Technology, Delhi, India), Dhairya Kuchhal (, Indian Institute Of Technology, Delhi, India), Sayan Ranu (Indian Institute Of Technology Delhi, India), Tarak Karmakar (Indian Institute Of Technology, Delhi, India), ICML 2026
"Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?", Joy Dhar (Indian Institute Of Technology Ropar, India), Manish Kumar Pandey (RoentGen Health, India), Behzad Bozorgtabar (Aarhus University , DK), Nayyar Zaidi (Deakin University, Australia), Wenyu Zhang (Center For AI Safety, United States), Wei-Hong Li (University Of Bristol, United Kingdom), Tingting Mu (University Of Manchester, United Kingdom), Dwarikanath Mahapatra (Khalifa University Of Science, Technology And Research, United Arab Emirates), Mahsa Baktashmotlagh (The University Of Queensland, Australia), Trung Le (Monash University, Australia), Chen Chen (University Of Sheffield, United Kingdom), Sajib Mistry (Curtin University, Australia), Camila Gonzalez (Medizinische Universität Wien, AT), Samira Ebrahimi Kahou (University Of Calgary, Canada), Lina Yao (University Of New South Wales, Australia), Piotr Koniusz (University Of New South Wales, Australia), Robert Burns Fisher (Univ Of Edinburgh, United Kingdom), Dinh Phung (Unknown), Bohyung Han (Seoul National University, South Korea), Nuno Vasconcelos (University Of California, San Diego, United States), Pietro Lio (University Of Cambridge, United Kingdom), ICML 2026
"DOT-MoE: Differentiable Optimal Transport for MoEfication", Udbhav Bamba (Amazon, India), Arnav Chavan (Unknown), Aryamaan Thakur (Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), Steven Teig (Amazon, United States), Deepak Gupta (Amazon, United Arab Emirates), ICML 2026
"Efficient Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback", Arpit Agarwal (IIT Bombay, India), Varad Deolankar (National University Of Singapore, Singapore), Rohan Ghuge (University Of Texas At Austin, United States), ICML 2026
"Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling", ABHIJEET SINHA (National University Of Singapore, Singapore), Sundari Elango (Indian Institute Of Technology, Madras, India), Dianbo Liu (Unknown), ICML 2026
"Fast k-means Seeding Under The Manifold Hypothesis", Poojan Chetan Shah (Indian Institute Of Technology, Delhi), Shashwat Agrawal (Indian Institute Of Technology, Delhi, India), Ragesh Jaiswal (Indian Institute Of Technology, Delhi, United States), ICML 2026
"Faster Query-Key Learning Sharpens Attention in Self-Attention Models", Rahul Vashisht (Department Of Computer Science, Indian Institute Of Technology, Madras, Indian Institute Of Technology, Madras, India), Harish G. Ramaswamy (Unknown), ICML 2026
"Feature Collapse Under Corruption: An Entropy Perspective on Robust Neural Networks", Vishesh Kumar (IISERB, India), Akshay Agarwal (IISER Bhopal, India), ICML 2026
"FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space", Jiahong Liu (The Chinese University Of Hong Kong, Hong Kong), Ram Samarth B B (Microsoft, India), Xinyu Fu (Huawei Technologies Ltd., Hong Kong), Menglin Yang (HKUST(GZ) , China), Weixi Zhang (Huawei Technologies Ltd., Hong Kong), Rex Ying (Yale University, United States), Irwin King (The Chinese University Of Hong Kong, Hong Kong), ICML 2026
"FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization", Mohammed Asad Karim (CMU, Carnegie Mellon University), Vinay Kumar Verma (Amazon, India), ICML 2026
"Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning", Deepika Vemuri (Indian Institute Of Technology, Hyderabad, India), Sayanta Adhikari (Amazon, India), Ankit Saha (KLA, India), Krishn Vishwas Kher (Indian Institute Of Technology, Hyderabad, India), Vineeth N. Balasubramanian (Unknown), ICML 2026
"From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors", Liangbing Zhao (King Abdullah University Of Science And Technology, Saudi Arabia), Le Zhuo (Krea, United States), Sayak Paul (Hugging Face, India), Hongsheng Li (The Chinese University Of Hong Kong, China), Mohamed Elhoseiny (King Abdullah University Of Science And Technology, Saudi Arabia), ICML 2026
"GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond", Parth Verma (Indian Institute Of Technology, Delhi, India), Parv Pratap Singh (Indian Institute Of Technology, Delhi, India), Vipul Garg (Indian Institute Of Technology, Delhi, India), Ishita Thakre (Indian Institute Of Technology, Delhi, India), N M Anoop Krishnan (Indian Institute Of Technology Delhi), Sayan Ranu (Indian Institute Of Technology Delhi, India), ICML 2026
"GraphFLEx: Unsupervised Structure Learning $\underline{\text{F}}$ramework for $\underline{\text{L}}$arge $\underline{\text{Ex}}$panding $\underline{\text{Graph}}$s", Mohit Kataria (Indian Institute Of Technology, Delhi), Nikita Malik (Indian Institute Of Technology, Delhi), Jayadeva Jayadeva (Indian Institute Of Technology Delhi), Sandeep Kumar (Indian Institute Of Technology Delhi, India), ICML 2026
"Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents", Nivya Talokar (AP Moller Maersk, DK), Ayush Kumar Tarun (EPFL - EPF Lausanne, Switzerland), Murari Mandal (Kalinga Institute Of Industrial Technology (KIIT) Bhubaneswar India, India), Maksym Andriushchenko (ELLIS Institute Tübingen, Germany), Antoine Bosselut (EPFL, Switzerland), ICML 2026
"Holonomy Grid Codes for Generalisation Under Directed Actions", Pradeep Singh (Indian Institute Of Technology Delhi, India), Balasubramanian Raman (Indian Institute Of Technology Roorkee, Roorkee, INDIA, India), ICML 2026
"Improved Algorithms for Nash Welfare in Linear Bandits", Dhruv Sarkar (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Nishant Pandey (Indian Institute Of Technology Kanpur, India), Sayak Ray Chowdhury (Indian Institute Of Technology, Kanpur, India), ICML 2026
"Induction Heads Interpolate N-Grams", Francesco D`Angelo (EPFL, Switzerland), Oğuz Kaan Yüksel (EPFL - EPF Lausanne, Switzerland), Swathi Shree Narashiman (Indian Institute Of Technology, Madras, India), Nicolas Flammarion (Swiss Federal Institute Of Technology Lausanne, Switzerland), ICML 2026
"Innovation: An Almost Characterization of Hallucination", Nishant P. Das (Tata Institute Of Fundamental Research, India), Piyush Srivastava (Tata Institute Of Fundamental Research, India), ICML 2026
"Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries", Pavan Karjol (Indian Institute Of Science, Indian Institute Of Science, Bengaluru, India), Vivek V Kashyap (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Rohan Kashyap (Unknown), Prathosh AP (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), ICML 2026
"Interpreting and Steering State-Space Models via Activation Subspace Bottlenecks", Vamshi Sunku Mohan (AppViewX, India), Kaustubh Gupta (Indian Institute Of Technology Hyderabad, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Aneesha Das (Independent Researcher, India), Chandan Singh (Microsoft Research, United States), ICML 2026
"Jailbreaking Vision-Language Models Through the Visual Modality", Aharon Azulay (Hebrew University Of Jerusalem), Jan Dubiński (NASK - National Research Institute, PL), Zhuoyun Li (University Of Liverpool, United Kingdom), Atharv Mittal (Indian Institute Of Technology, Roorkee, India), Yossi Gandelsman (Unknown), ICML 2026
"Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies", Arun Verma (Singapore-MIT Alliance For Research And Technology, Singapore), Indrajit Saha (Indian Institute Of Technology (Banaras Hindu University) Varanasi, India), Makoto Yokoo (Kyushu University, Japan), Bryan Kian Hsiang Low (National University Of Singapore, Singapore), ICML 2026
"Latent Diffusion Pretraining for Crystal Property Prediction", Shrimon Mukherjee (Indian Institute Of Technology Kharagpur, India), KISHALAY DAS (Indian Institute Of Technology Kharagpur,, India), Partha Basuchowdhuri (Indian Association For The Cultivation Of Science), Pawan Goyal (IIT Kharagpur, India), Niloy Ganguly (Indian Institute Of Technology Kharagpur,, India), ICML 2026
"Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models", Ayushman Raghuvanshi (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Thummaluru Siddartha Reddy (Fujitsu Research India Private Limited, India), Sundeep Prabhakar Chepuri (Indian Institute Of Science), Mahesh Chandran (Fujitsu Research And Development Center Co. Ltm., India), ICML 2026
"Learning the ESG Geometry with Domain Aware Language Models", Kunal Pradeep Pimparkhede (Indian Institute Of Technology Kharagpur, India), Chirayu Chaurasia (Indian Institute Of Technology, Madras, India), Jatin Roy (Vellore Institute Of Technology, India), Mahesh Mohan M R (Indian Institute Of Technology Kharagpur, United States), ICML 2026
"Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use", Aradhye Agarwal (Research, Microsoft, India), Gurdit Siyan (Microsoft, India), Yash Pandya (Microsoft, India), Joykirat Singh (Department Of Computer Science, University Of North Carolina At Chapel Hill, United States), Akshay Nambi (Microsoft Research, India), Ahmed Hassan Awadallah (Microsoft Research), ICML 2026
"Likelihood over Estimation: Robust Quadratic Discriminant Analysis for Heavy-Tailed Distributions with Theory and Evidence", Niranjana Ambadi (LawMate Private Limited, India), Eugene Pinsky (Boston University Metropolitan College, United States), ICML 2026
"Linguistic Properties and Model Scale in Brain Encoding: From Small to Compressed Language Models", SUBBA REDDY OOTA (Technische Universität Berlin, Germany), Vijay Rowtula (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Satya Sai Srinath Namburi GNVV (GE HealthCare, United States), Khushbu Pahwa (Amazon, United States), Anant Khandelwal (Microsoft, India), Manish Gupta (Microsoft, India), Tanmoy Chakraborty (Indian Institute Of Technology, Delhi, India), Bapi Raju Surampudi (International Institute Of Information Technology Hyderabad, India), ICML 2026
"Local-Minima-Preserving Polynomial Relaxation of Ising Problems", Debraj Banerjee (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Santanu Mahapatra (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Kunal N. Chaudhury (Unknown), ICML 2026
"Measuring Meta-Cultural Competency: A Spectral Framework for LLM Knowledge Structures", Sougata Saha (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Madhur Jindal (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Saurabh Kumar Pandey (Microsoft, India), Mahardika Krisna Ihsani (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Alham Fikri Aji (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Monojit Choudhury (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), ICML 2026
"MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio", Harshit Rajgarhia (Centific, United States), Shuubham Ojha (University Of Maryland, College Park, United States), Asif Shaik (Centific, India), Akhil Pothanapalli (Centific, India), Rachuri Lokesh (Centific, India), Abhishek Mukherji (Centific, United States), Prasanna Desikan (Centific, United States), ICML 2026
"Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity", Menglin Xia (Microsoft, United Kingdom), Xuchao Zhang (Microsoft, United States), Shantanu Dixit (Microsoft, India), Paramaguru Harimurugan (PSG College Of Technology, India), Rujia Wang (Microsoft, United States), Victor Rühle (Unknown), Robert Sim (Microsoft, United States), Chetan Bansal (Microsoft, United States), Saravan Rajmohan (Microsoft, United States), ICML 2026
"Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching", Prayas Agrawal (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Prateek Chanda (Indian Institute Of Technology, Bombay, India), Ishita Khatri (Indian Institute Of Technology, Madras, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Ganesh Ramakrishnan (Indian Institute Of Technology Bombay, Indian Institute Of Technology Bombay, India), Bamdev Mishra (Microsoft, India), Pratik Jawanpuria (Indian Institute Of Technology, Bombay, India), ICML 2026
"Multi-Way Representation Alignment", Akshit Achara (King`s College London, University Of London, United Kingdom), Tatiana Gaintseva (Queen Mary University Of London, United Kingdom), Matéo Mahaut (Universitat Pompeu Fabra, Spain), Pritish Chakraborty (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Viktor Stenby Johansson (Technical University Of Denmark, DK), Melih Barsbey (Imperial College London, United Kingdom), Emanuele Rodola (Sapienza University Of Rome, Italy), Donato Crisostomi (Cohere, Canada), ICML 2026
"Neuro-Fuzzy Concept Learning for Interpretable Large Multimodal Models", Ritik Mishra (Indian Institute Of Technology, Indore, India), Vanshika Gupta (Indian Institute Of Technology, Indore, India), M. Sajid (Unknown), M. Tanveer (Indian Institute Of Technology, Indore, India), ICML 2026
"Obliviate: Efficient Unlearning in Recommender Systems", Tushar Prakash (Sony Research India, India), Brijraj Singh (Sony Research India, India), Niranjan Pedanekar (Sony, India), Narayan Chaturvedi (Indian Institute Of Technology, Roorkee), ICML 2026
"On the Theory of Continual Learning with Gradient Descent for Neural Networks", Hossein Taheri (University Of California, San Diego, United States), Avishek Ghosh (Indian Institute Of Technology, Bombay, India), Arya Mazumdar (University Of California, San Diego, United States), ICML 2026
"Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints", Dhruv Sarkar (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Abhishek Sinha (Tata Institute Of Fundamental Research), ICML 2026
"PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?", Sidharth Pulipaka (Mahindra University, India), Oliver Chen (Independent, United States), Manas Sharma (Indian Statistical Institute, India), Taaha Saleem Bajwa (Agile Loop, PK), Vyas Raina (Apta, United Kingdom), Ivaxi Sheth (CISPA, Saarland University, Saarland Informatics Campus, Germany), ICML 2026
"Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning", Sahil Mishra (Indian Institute Of Technology, Delhi, India), Srinitish Srinivasan (Indian Institute Of Technology, Delhi, India), Sourish Dasgupta (Dhirubhai Ambani University, India), Tanmoy Chakraborty (Indian Institute Of Technology, Delhi, India), ICML 2026
"Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable", Rounak Saha (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Gurusha Juneja (Unknown), Dayita Chaudhuri (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Naveeja Sajeevan (Mango Sciences, India), Nihar B Shah (Carnegie Mellon University, United States), Danish Pruthi (Indian Institute Of Science, Bangalore , India), ICML 2026
"PRISM: Demystifying Retention and Interaction in Mid-Training", Bharat Runwal (MIT-IBM Watson AI Lab, IBM Research, India), Ashish Sunil Agrawal (International Business Machines, India), Anurag Roy (Microsoft, India), Rameswar Panda (MIT-IBM Watson AI Lab), ICML 2026
"ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation", Yizheng Huang (Google, United States), Wenjun Zeng (Google, United States), Aditi Kumaresan (Google, India), Zi Wang (Google DeepMind, United States), ICML 2026
"QEDBench: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs", Santiago Gonzalez (Yale University, United States), Alireza Amiri Bavandpour (Sharif University Of Technology, IR), Peter Ye (Yale University, United States), Edward Zhang (Unknown), Ruslans Aleksejevs (University Of California, Berkeley, United States), Todor Antić (Charles University Prague, CZ), Polina Baron (University Of Chicago, United States), Sujeet Bhalerao (University Of Illinois At Urbana-Champaign, United States), Shubhrajit Bhattacharya (University Of Chicago, United States), Zachary Burton (Massachusetts Institute Of Technology, United States), John Byrne (University Of Delaware, United States), Hyungjun Choi (Princeton University, United States), Nujhat Ahmed Disha (Massachusetts Institute Of Technology, United States), Koppány István Encz (Universita Della Svizzera Italiana, Switzerland), Yuchen Fang (University Of California, Berkeley, United States), Robert Joseph George (California Institute Of Technology, United States), Ebrahim Ghorbani (Technische Universität Hamburg, Germany), Alan Goldfarb (University Of California, Berkeley, United States), Jing Guo (Universität Regensburg, Germany), Meghal Gupta (University Of California, Berkeley), Stefano Huber (Universita Della Svizzera Italiana, Switzerland), Annika Kanckos (University Of Helsinki, FI), Minjung Kang (Illinois Institute Of Technology, United States), Hyun Jong Kim (University Of Western Ontario, Canada), Dino Lorenzini (University Of Georgia, United States), Levi Lorenzo (Fort Lewis College, United States), Tianyi Mao (Helm.ai, United States), Giovanni Marzenta (University Of British Columbia, Canada), Ariane M. Masuda (CUNY City Tech, United States), Lukas Mauth (Universität Köln, Germany), Ana Mickovic (University Of Amsterdam), Andrés Miniguano-Trujillo (King`s College London, University Of London, United Kingdom), Antoine Moulin (Universitat Pompeu Fabra, Spain), Wenqi Ni (University Of Edinburgh, University Of Edinburgh, United Kingdom), Tomos Parry (Bilkent University, TR), Kevin Ren (Princeton University, United States), Hossein Roodbarani (York University, Canada), Mathieu Rundström (University Of Waterloo, Canada), Manjil Saikia (Ahmedabad University, India), Detchat Samart (Burapha University, TH), Rebecca Steiner (Johannes-Gutenberg Universität Mainz, Germany), Connor Stewart (CUNY Hunter College, United States), Dhara Thakkar (Nagoya University, Japan), Jeffrey Tse (University Of Oxford, United Kingdom), Vasiliki Velona (Independent, United States), Yunhai Xiang (University Of Western Ontario, Canada), Sibel Yalçın (Uludag University, TR), Jun Yan (University Of Oxford, United Kingdom), Ji Zeng (Alfréd Rényi Institute Of Mathematics, HU), Arman Cohan (Yale University, United States), Quanquan C. Liu (Yale University, United States), ICML 2026
"Rays as Pixels: Learning A Joint Distribution of Video and Camera Trajectories", Wonbong Jang (Meta, United Kingdom), Shikun Liu (Facebook, United Kingdom), Soubhik Sanyal (Facebook, United Kingdom), Juan Camilo Perez (Facebook, United Kingdom), Kam Woh Ng (Facebook, United Kingdom), Sanskar Agrawal (Indian Institute Of Technology Kharagpur), Juan-Manuel Perez-Rua (Facebook, United Kingdom), Yiannis Douratsos (Facebook, United Kingdom), Tao Xiang (University Of Surrey, United Kingdom), ICML 2026
"Rethinking Thinking Tokens: LLMs as Improvement Operators", Lovish Madaan (Meta, United Kingdom), Aniket Rajiv Didolkar (Université De Montréal, Canada), Suchin Gururangan (Facebook), John Quan (Meta, United Kingdom), Ruan Silva (Meta), Ruslan Salakhutdinov (Unknown), Manzil Zaheer (Zaheer, India), Sanjeev Arora (Princeton University), Anirudh Goyal (Facebook, United Kingdom), ICML 2026
"Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use", Kunvar Thaman (Independent, India), ICML 2026
"Reward Learning through Ranking Mean Squared Error", Chaitanya Kharyal (University Of Alberta, India), Calarina Muslimani (University Of Alberta, Canada), Matthew E. Taylor (Unknown), ICML 2026
"Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models", Rishabh Tiwari (University Of California, Berkeley, United States), Aditya Tomar (University Of California, Berkeley, United States), Udbhav Bamba (Amazon, India), Monishwaran Maheswaran (Electrical Engineering & Computer Science Department, University Of California, Berkeley, United States), Heng Yang (Electrical Engineering & Computer Science Department, University Of California, Berkeley, United States), Michael W. Mahoney (University Of California Berkeley, United States), Kurt Keutzer (University Of California Berkeley, United States), Amir Gholami (Unknown), ICML 2026
"RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation", Sambaran Bandyopadhyay (Adobe Systems, India), Ananth Muppidi (Adobe Systems, India), ICML 2026
"S2M-Net: Spectral-Spatial Mixing with Morphology-Aware Adaptive Loss for Medical Image Segmentation", Sanaullah Chowdhury (VISIE LTD, BD), Lameya Sabrin (National Institute Of Technology Silchar, Dhirubhai Ambani Institute Of Information And Communication Technology, India), ICML 2026
"Safety Recovery in Reasoning Models Is Only a Few Early Steering Steps Away", Soumya Suvra Ghosal (Adobe Research, India), Souradip Chakraborty (University Of Maryland, College Park, United States), Vaibhav Singh (SB Intuitions, Japan), Furong Huang (University Of Maryland, United States), Dinesh Manocha (University Of Maryland, College Park, United States), Amrit Singh Bedi (Unknown), ICML 2026
"Scaling Vision Transformers for Functional MRI with Flat Maps", Connor Lane (Sophont, United States), Mihir Tripathy (Baylor College Of Medicine, United States), Leema Krishna Murali (Cohere Labs Community, United States), Ratna Sagari Grandhi (MedARC, United States), Shamus Sim Zi Yang (Monash University, Australia), Sam Gijsen (Charité - Universitätsmedizin Berlin, Germany), Debojyoti Das (Heritage Institute Of Technology, India), Manish Ram (University Of Washington, United States), Utkarsh Kumar Singh (Qure AI Pvt Limited, India), Cesar Kadir Torrico Villanueva (Unknown), YUXIANG WEI (Georgia Institute Of Technology, United States), Will Beddow (KREA AI, United States), Gianfranco Cortes (University Of Florida, United States), Suin Cho (Boston University, Boston University, United States), Daniel Z Kaplan (Realiz.ai, United States), Benjamin Warner (Sophont, Inc, United States), Tanishq Mathew Abraham (Sophont, United States), Paul Steven Scotti (Princeton University, United States), ICML 2026
"The Cylindrical Representation Hypothesis for Language Model Steering", Lang Gao (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Jinghui Zhang (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Wei Liu (National University Of Singapore, Singapore), Fengxian Ji (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Chenxi Wang (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Zirui Song (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Akash Ghosh (Indian Institute Of Technology, Patna, India), Youssef Mohamed (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), Xiuying Chen (Mohamed Bin Zayed University Of Artificial Intelligence, United Arab Emirates), ICML 2026
"The Realignment Problem: When Right becomes Wrong in LLMs", Aakash Sen Sharma (InvideoAI, India), Debdeep Sanyal (Kalinga Institute Of Industrial Technology (KIIT), India), Manodeep Ray (Tata Consultancy Services Limited, India, India), Vivek Srivastava (Tata Consultancy Services Limited, India, India), Shirish Karande (Tata Consultancy Services Limited, India, India), Murari Mandal (Kalinga Institute Of Industrial Technology (KIIT) Bhubaneswar India, India), ICML 2026
"Towards a Science of AI Agent Reliability", Stephan Rabanser (Princeton University, United States), Sayash Kapoor (Princeton University, United States), Peter Kirgis (Princeton University, United States), Kangheng Liu (Georgetown University, United States), Saiteja Utpala (Microsoft, India), Arvind Narayanan (Princeton University, United States), ICML 2026
"Trainable Nonexpansive Denoisers for Contractive Image Reconstruction", Arghya Sinha (Indian Institute Of Science, Bangalore, India), Aditya Banerjee (Latent Force Pvt Lmt, India), Trishit Mukherjee (Foundation For Science Innovation And Development, India), Kunal N. Chaudhury (Unknown), ICML 2026
"Uncovering the Latent Potential of Deep Intermediate Representations", Arnesh Batra (Indraprastha Institute Of Information Technology, Delhi, India), Arush Gumber (Indraprastha Institute Of Information Technology, Delhi, India), Aniket Khandelwal (Indraprastha Institute Of Information Technology, Delhi, India), Jashn Khemani (Indraprastha Institute Of Information Technology, Delhi, India), Anubha Gupta (Indraprastha Institute Of Information Technology, Delhi, India), ICML 2026
"Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets", Yiyang Lu (Purdue University, United States), Hareshkumar Jadav (Indian Institute Of Technology, Indore, India), Mohammad Pedramfar (McGill University, Canada), Ranveer Singh (Indian Institute Of Technology, Indore, India), Vaneet Aggarwal (Purdue University, United States), ICML 2026
"VIBE: Disentangling Social Dynamics via Kinematics-Informed Variational Inference for Behavioral Emotion", Abhishek Pratap Singh (Indian Institute Of Technology, Roorkee, India), Vaibhav Pratap Singh (Malaviya National Institute Of Technology Jaipur, India), Deepak Kumar (Indian Institute Of Technology, Roorkee, India), Balasubramanian Raman (Indian Institute Of Technology Roorkee, Roorkee, INDIA, India), ICML 2026
"Visual Persuasion: What Influences Decisions of Vision-Language Models?", Manuel Cherep (Massachusetts Institute Of Technology, United States), Pranav M R (BITS Pilani, KK Birla Goa Campus, India), Patricia Maes (Massachusetts Institute Of Technology, BE), Nikhil Singh (Dartmouth College, United States), ICML 2026
"XRPO: Pushing the Limits of GRPO with Targeted Exploration and Exploitation", Udbhav Bamba (Amazon, India), Minghao Fang (Zhejiang University, China), Yifan Yu (University Of Illinois At Urbana-Champaign, United States), Haizhong Zheng (CMU, Carnegie Mellon University, United States), Fan Lai (University Of Illinois Urbana-Champaign), ICML 2026
"ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)", Kartik Singhal (IIIT Delhi), Gautam Shroff (IIIT Delhi), AAAI 2025
"All That Glitters is Not Novel: Plagiarism in AI Generated Research", Tarun Gupta (Indian Institute Of Science, Bengaluru, KA, India), Danish Pruthi (Indian Institute Of Science, Bengaluru, KA, India), ACL 2025
"“My life is miserable, have to sign 500 autographs everyday”: Exposing Humblebragging, the Brags in Disguise", Sharath Naganna (Indian Institute Of Technology Bombay, Mumbai, India), Saprativa Bhattacharjee (Indian Institute Of Technology Bombay, Mumbai, India), Biplab Banerjee (Indian Institute Of Technology Bombay, Mumbai, India), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay, Mumbai, India), ACL 2025
"BI-Bench : A Comprehensive Benchmark Dataset and Unsupervised Evaluation for BI Systems", Ankush Gupta (IBM Research, India), Aniya Aggarwal (IBM Research, India), Shivangi Bithel (IBM Research, India), Arvind Agarwal (IBM Research, India), ACL 2025
"Brevity is the soul of sustainability: Characterizing LLM response lengths", Soham Poddar (Indian Institute Of Technology, Kharagpur, India), Paramita Koley (Indian Statistical Institute, Kolkata, India), Janardan Misra (Accenture Labs, Bangalore, India), Niloy Ganguly (Indian Institute Of Technology, Kharagpur, India), Saptarshi Ghosh (Indian Institute Of Technology, Kharagpur, India), ACL 2025
"CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations", Divyaksh Shukla (Indian Institute Of Technology Kanpur), Ritesh Baviskar (Unknown), Dwijesh Gohil (Unknown), Aniket Tiwari (Unknown), Atul Shree (Convin-AI), Ashutosh Modi (Indian Institute Of Technology Kanpur), ACL 2025
"COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation", Raghvendra Kumar (Department Of Computer Science And Engineering, IIT Patna, India), Mohammed Salman S A (Department Of Metallurgical And Materials Engineering, NIT Tiruchirappalli, India), Aryan Sahu (Department Of Computer Science And Information Systems, BITS Pilani Goa, India), Tridib Nandi (Department Of Computer Science And Engineering, IIIT Vadodara, India), Pragathi Y P (Department Of Computer Science And Engineering, BMSCE Bangalore, India), Sriparna Saha (Department Of Computer Science And Engineering, IIT Patna, India), Jose G. Moreno (Université De Toulouse, IRIT UMR 5505 CNRS, France), ACL 2025
"CourtEval: A Courtroom-Based Multi-Agent Evaluation Framework", Sandeep Kumar (Indian Institute Of Technology Patna), Abhijit A Nargund (Samsung R&D Bangalore, India), Vivek Sridhar (Samsung R&D Bangalore, India), ACL 2025
"Dense Retrieval with Quantity Comparison Intent", Prayas Agrawal (IIT Bombay), Nandeesh Kumar K M (Flipkart), Muthusamy Chelliah (Flipkart), Surender Kumar (Flipkart), Soumen Chakrabarti (IIT Bombay), ACL 2025
"Entity Framing and Role Portrayal in the News", Tarek Mahmoud (MBZUAI, UAE), Zhuohan Xie (MBZUAI, UAE), Dimitar Iliyanov Dimitrov (Sofia University ``St. Kliment Ohridski``, Bulgaria), Nikolaos Nikolaidis (Athens University Of Economics And Business, Greece), Purificação Silvano (University Of Porto, Portugal), Roman Yangarber (University Of Helsinki, Finland), Shivam Sharma (Indian Institute Of Technology Delhi, India), Elisa Sartori (University Of Padova, Italy), Nicolas Stefanovitch (European Commission Joint Research Centre, Italy), Giovanni Da San Martino (University Of Padova, Italy), Jakub Piskorski (Institute Of Computer Science, Polish Academy Of Sciences, Poland), Preslav Nakov (MBZUAI, UAE), ACL 2025
"ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries", Kishan Maharaj (Indian Institute Of Technology Bombay, Mumbai, India), Vitobha Munigala (IBM Research India), Srikanth G. Tamilselvam (IBM Research India), Prince Kumar (IBM Research India), Sayandeep Sen (IBM Research India), Palani Kodeswaran (IBM Research India), Abhijit Mishra (University Of Texas At Austin, Texas, United States), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay, Mumbai, India), ACL 2025
"EtiCor++: Towards Understanding Etiquettical Bias in LLMs", Ashutosh Dwivedi (Indian Institute Of Technology Kanpur (IIT Kanpur)), Siddhant Shivdutt Singh (Indian Institute Of Technology Kanpur (IIT Kanpur)), Ashutosh Modi (Indian Institute Of Technology Kanpur (IIT Kanpur)), ACL 2025
"Evaluating LLMs’ Mathematical and Coding Competency through Ontology-guided Interventions", Pengfei Hong (HiThink Research), Navonil Majumder (Singapore University Of Technology And Design), Deepanway Ghosal (Singapore University Of Technology And Design), Somak Aditya (IIT Kharagpur), Rada Mihalcea (University Of Michigan), Soujanya Poria (Nanyang Technological Research), ACL 2025
"Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings", Gunjan Balde (Indian Institute Of Technology Kharagpur), Soumyadeep Roy (Indian Institute Of Technology Kharagpur), Mainack Mondal (Indian Institute Of Technology Kharagpur), Niloy Ganguly (Indian Institute Of Technology Kharagpur), ACL 2025
"FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes", Janki Atul Nawale (Nilekani Centre At AI4Bharat), Mohammed Safi Ur Rahman Khan (Nilekani Centre At AI4Bharat, Indian Institute Of Technology, Madras), Janani D (Nilekani Centre At AI4Bharat), Mansi Gupta (Nilekani Centre At AI4Bharat), Danish Pruthi (Indian Institute Of Science, Bangalore), Mitesh M. Khapra (Nilekani Centre At AI4Bharat, Indian Institute Of Technology, Madras), ACL 2025
"Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details?", Parth Thakkar (Fujitsu Research India), Ankush Agarwal (Fujitsu Research India), Prasad Kasu (Fujitsu Research India), Pulkit Bansal (Fujitsu Research India; Indian Institute Of Technology Patna), Chaitanya Devaguptapu (Fujitsu Research India), ACL 2025
"FREE: Fast and Robust Vision Language Models with Early Exits", Divya Jyoti Bajpai (Department Of IEOR, IIT Bombay), Manjesh Kumar Hanawal (Department Of IEOR, IIT Bombay), ACL 2025
"From Perception to Reasoning: Enhancing Vision-Language Models for Mobile UI Understanding", Settaluri Lakshmi Sravanthi (Indian Institute Of Technology Bombay, Mumbai, India), Ankit Mishra (Indian Institute Of Technology Bombay, Mumbai, India), Debjyoti Mondal (Samsung Research Institure, Bangalore), Subhadarshi Panda (Samsung Research Institure, Bangalore), Rituraj Singh (Samsung Research Institure, Bangalore), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay, Mumbai, India), ACL 2025
"From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims", Archana Yadav (Indian Institute Of Technology Bombay), Harshvivek Kashid (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Medchalimi Sruthi (Hyundai Motor India Engineering), B JayaPrakash (Hyundai Motor India Engineering), Chintalapalli Raja Kullayappa (Hyundai Motor India Engineering), Mandala Jagadeesh Reddy (Hyundai Motor India Engineering), ACL 2025
"GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration", Yoo Yeon Sung (University Of Maryland, College Park, MD), Eve Fleisig (University Of California, Berkeley, CA), Yu Hou (University Of Maryland, College Park, MD), Ishan Upadhyay (IIT Bombay, Mumbai, MH), Jordan Lee Boyd-Graber (University Of Maryland, College Park, MD), ACL 2025
"HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation", Naquee Rizwan (IIT Kharagpur), Seid Muhie Yimam (University Of Hamburg), Daryna Dementieva (Technical University Of Munich), Florian Skupin (Bucerius Law School), Tim Fischer (University Of Hamburg), Daniil Moskovskiy (Artificial Intelligence Research Institute, Skolkovo Institute Of Science And Technology), Aarushi Ajay Borkar (University Of Hamburg), Robert Geislinger (University Of Hamburg), Punyajoy Saha (IIT Kharagpur), Sarthak Roy (IIT Kharagpur), Martin Semmann (University Of Hamburg), Alexander Panchenko (Skolkovo Institute Of Science And Technology, Artificial Intelligence Research Institute), Chris Biemann (University Of Hamburg), Animesh Mukherjee (IIT Kharagpur), ACL 2025
"HG-InsightLog: Context Prioritization and Reduction for Question Answering with Non-Natural Language Construct Log Data", Supriya Bajpai (Fujitsu Research India, Bengaluru, India), Athira Gopal (Fujitsu Research India, Bengaluru, India), Chandrakant Harjpal (Fujitsu Research India, Bengaluru, India), Niraj Kumar (Fujitsu Research India, Bengaluru, India), ACL 2025
"ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos", Mohammad Zia Ur Rehman (Indian Institute Of Technology Indore, Indore, India), Anukriti Bhatnagar (Indian Institute Of Technology Indore, Indore, India), Omkar Kabde (Chaitanya Bharathi Institute Of Technology, Telangana, India), Shubhi Bansal (Indian Institute Of Technology Indore, Indore, India), Nagendra Kumar (Indian Institute Of Technology Indore, Indore, India), ACL 2025
"IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages", Divya V Sharma (SBILab, IIIT-Delhi), Vijval Ekbote (SBILab, IIIT-Delhi), Anubha Gupta (SBILab, IIIT-Delhi), ACL 2025
"Infogen: Generating Complex Statistical Infographics from Documents", Akash Ghosh (Indian Institute Of Technology Patna, India), Aparna Garimella (Adobe Research), Pritika Ramu (Adobe Research), Sambaran Bandyopadhyay (Adobe Research), Sriparna Saha (Indian Institute Of Technology Patna, India), ACL 2025
"IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data", Tao Feng (Monash University), Lizhen Qu (Monash University), Niket Tandon (Microsoft Research, India), Gholamreza Haffari (Monash University), ACL 2025
"Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability", Riya Sawhney (Indian Institute Of Technology, Delhi, Graviton Research Capital, KnowDis AI), Samrat Yadav (Indian Institute Of Technology, Delhi, Graviton Research Capital, KnowDis AI), Indrajit Bhattacharya (Indian Institute Of Technology, Delhi, Graviton Research Capital, KnowDis AI), Mausam (Indian Institute Of Technology, Delhi, Graviton Research Capital, KnowDis AI), ACL 2025
"Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation", Soumitra Ghosh (Fondazione Bruno Kessler, Trento, Italy), Gopendra Vikram Singh (Indian Institute Of Technology Patna, India), Shambhavi (Indian Institute Of Technology Patna, India), Sabarna Choudhury (Indian Institute Of Technology Jodhpur, India), Asif Ekbal (Indian Institute Of Technology Jodhpur, India), ACL 2025
"Just KIDDIN’ : Knowledge Infusion and Distillation for Detection of INdecent Memes", Rahul Garg (IIIT Hyderabad, Hyderabad, India), Trilok Padhi (Georgia State University, Atlanta, GA, USA), Hemang Jain (IIIT Hyderabad, Hyderabad, India), Ugur Kursuncu (Georgia State University, Atlanta, GA, USA), Ponnurangam Kumaraguru (IIIT Hyderabad, Hyderabad, India), ACL 2025
"Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification", Subhendu Khatuya (Indian Institute Of Technology Kharagpur, India), Shashwat Naidu (Indian Institute Of Technology Kharagpur, India), Saptarshi Ghosh (Indian Institute Of Technology Kharagpur, India), Pawan Goyal (Indian Institute Of Technology Kharagpur, India), Niloy Ganguly (Indian Institute Of Technology Kharagpur, India), ACL 2025
"Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation", Atharvan Dogra (Centre For Responsible AI, IIT Madras), Krishna Pillutla (Centre For Responsible AI, IIT Madras; Indian Institute Of Technology Madras), Ameet Deshpande (Princeton University), Ananya B. Sai (Indian Institute Of Technology Madras), John Nay (Stanford University), Tanmay Rajpurohit (Independent Researcher), Ashwin Kalyan (Independent Researcher), Balaraman Ravindran (Centre For Responsible AI, IIT Madras; Indian Institute Of Technology Madras), ACL 2025
"Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery", Sounak Lahiri (Deloitte & Touche Assurance & Enterprise Risk Services India Private Limited, Bangalore, India), Sumit Pai (Deloitte & Touche LLP, New York City, USA), Tim Weninger (University Of Notre Dame, Notre Dame, USA), Sanmitra Bhattacharya (Unknown), ACL 2025
"LexGen: Domain-aware Multilingual Lexicon Generation", Ayush Maheshwari (Indian Institute Of Technology Bombay), Atul Kumar Singh (Indian Institute Of Technology Bombay), N J Karthika (Unknown), Krishnakant Bhatt (Unknown), Preethi Jyothi (Unknown), Ganesh Ramakrishnan (Unknown), ACL 2025
"Limited-Resource Adapters Are Regularizers, Not Linguists", Marcell Fekete (Aalborg University, Denmark), Nathaniel R. Robinson (Johns Hopkins University, USA), Ernests Lavrinovics (Aalborg University, Denmark), E. Djeride (University Of Ottawa, Canada), Jean-Baptiste (University Of Ottawa, Canada), Raj Dabre (IIT Madras, India), Johannes Bjerva (Aalborg University, Denmark), Heather Lent (Aalborg University, Denmark), ACL 2025
"LoFTI: Localization and Factuality Transfer to Indian Locales", Sona Elza Simon (Indian Institute Of Technology Bombay, Mumbai, India), Soumen Kumar Mondal (Indian Institute Of Technology Bombay, Mumbai, India), Abhishek Singhania (Indian Institute Of Technology Bombay, Mumbai, India), Sayambhu Sen (Indian Institute Of Technology Bombay, Mumbai, India), Preethi Jyothi (Indian Institute Of Technology Bombay, Mumbai, India), ACL 2025
"LoRMA: Low-Rank Multiplicative Adaptation for LLMs", Harsh Bihany (Indian Institute Of Technology Kanpur (IIT Kanpur)), Shubham Patel (Indian Institute Of Technology Kanpur (IIT Kanpur)), Ashutosh Modi (Indian Institute Of Technology Kanpur (IIT Kanpur)), ACL 2025
"MemeDetoxNet: Balancing Toxicity Reduction and Context Preservation", Gitanjali Kumari (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), Jitendra Solanki (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), Asif Ekbal (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India; School Of AI And Data Science, Indian Institute Of Technology Jodhpur, India), ACL 2025
"MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs", Arijit Nag (IIT Kharagpur), Animesh Mukherjee (IIT Kharagpur), Niloy Ganguly (IIT Kharagpur), Soumen Chakrabarti (IIT Bombay), ACL 2025
"NativQA: Multilingual Culturally-Aligned Natural Query for LLMs", Md. Arid Hasan (University Of New Brunswick, Canada), Maram Hasanain (Qatar Computing Research Institute, Qatar), Fatema Ahmad (UPES, India), Sahinur Rahman Laskar (Carnegie Mellon University In Qatar, Qatar), Sunaya Upadhyay (Carnegie Mellon University In Qatar, Qatar), Vrunda N Sukhadia (Qatar Computing Research Institute, Qatar), Mucahid Kutlu (Qatar University, Qatar), Shammur Absar Chowdhury (Qatar Computing Research Institute, Qatar), Firoj Alam (Qatar Computing Research Institute, Qatar), ACL 2025
"On the Generalization vs Fidelity Paradox in Knowledge Distillation", Suhas Kamasetty Ramesh (Department Of Electrical Engineering Indian Institute Of Technology Delhi, India), Ayan Sengupta (Department Of Electrical Engineering Indian Institute Of Technology Delhi, India), Tanmoy Chakraborty (Department Of Electrical Engineering Indian Institute Of Technology Delhi, India), ACL 2025
"On the Reliability of Large Language Models for Causal Discovery", Tao Feng (Monash University), Lizhen Qu (Monash University), Niket Tandon (Microsoft Research, India), Zhuang Li (Monash University), Xiaoxi Kang (Monash University), Gholamreza Haffari (Monash University), ACL 2025
"PromptWizard: Optimizing Prompts via Task-Aware, Feedback-Driven Self-Evolution", Eshaan Agarwal (Microsoft Research India), Raghav Magazine (Microsoft Research India), Joykirat Singh (Microsoft Research India), Vivek Dani (Microsoft Research India), Tanuja Ganu (Microsoft Research India), Akshay Nambi (Microsoft Research India), ACL 2025
"Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion", Sahil Mishra (Department Of Electrical Engineering, IIT Delhi), Kumar Arjun (Department Of Electrical Engineering, IIT Delhi), Tanmoy Chakraborty (Department Of Mathematics, IIT Delhi), ACL 2025
"Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities", Shivam Chandhok (University Of British Columbia; Vector Institute For AI), Wan-Cyuan Fan (University Of British Columbia; Vector Institute For AI), Vered Shwartz (University Of British Columbia; Vector Institute For AI; CIFAR AI Chair), Vineeth N. Balasubramanian (IIT Hyderabad; Microsoft Research India), Leonid Sigal (University Of British Columbia; Vector Institute For AI; CIFAR AI Chair), ACL 2025
"RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs", Alan Saji (Nilekani Centre At AI4Bharat), Jaavid Aktar Husain (Singapore University Of Technology And Design), Thanmay Jayakumar (Nilekani Centre At AI4Bharat; Indian Institute Of Technology Madras, India), Raj Dabre (Nilekani Centre At AI4Bharat; Indian Institute Of Technology Madras, India; National Institute Of Information And Communications Technology, Kyoto, Japan; Indian Institute Of Technology Bombay, India), Anoop Kunchukuttan (Nilekani Centre At AI4Bharat; Microsoft, India), Ratish Puduppully (IT University Of Copenhagen), ACL 2025
"SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models’ Knowledge of Indian Culture", Arijit Maji (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), Raghvendra Kumar (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), Akash Ghosh (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), Anushka (Department Of Computer Science, Banasthali Vidyapeeth University, Rajasthan, India), Sriparna Saha (Department Of Computer Science And Engineering, Indian Institute Of Technology Patna, India), ACL 2025
"Scaling Laws and Efficient Inference for Ternary Language Models", Tejas Vaidhya (Nolano AI, Mila-Quebec AI Institute, Université De Montréal), Ayush Kaushal (Nolano AI), Vineet Jain (Mila-Quebec AI Institute, McGill University), Francis Couture-Harpin (École De Technologie Supérieure, Université Du Québec), Prashant Shishodia (Google, India), Majid Behbahani (Morgan Stanley), Yuriy Nevmyvaka (Morgan Stanley), Irina Rish (Nolano AI, Mila-Quebec AI Institute, Université De Montréal), ACL 2025
"Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach", Aditya Tomar (IIT Bombay), Rudra Murthy (IBM Research, India), Pushpak Bhattacharyya (IIT Bombay), ACL 2025
"TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation", Vihang Pancholi (Arizona State University), Jainit Bafna (IIIT Hyderabad), Tejas Anvekar (Arizona State University), Manish Shrivastava (IIIT Hyderabad), Vivek Gupta (Arizona State University), ACL 2025
"That is Unacceptable: the Moral Foundations of Canceling", Soda Marem Lo (Università Degli Studi Di Torino; Aequa-tech), Oscar Araque (Universidad Politécnica De Madrid), Rajesh Sharma (University Of Tartu, Estonia; Plaksha University, India), Marco Antonio Stranisci (Università Degli Studi Di Torino; Aequa-tech), ACL 2025
"Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages", Ashwin Sankar (Nilekani Centre At AI4Bharat; Indian Institute Of Technology, Madras), Sparsh Jain (Nilekani Centre At AI4Bharat), Nikhil Narasimhan (Nilekani Centre At AI4Bharat), Devilal Choudhary (Delhi Technological University), Dhairya Suman (Indian Institute Of Technology, Delhi), Mohammed Safi Ur Rahman Khan (Nilekani Centre At AI4Bharat; Indian Institute Of Technology, Madras), Anoop Kunchukuttan (Nilekani Centre At AI4Bharat; Microsoft), Mitesh M Khapra (Nilekani Centre At AI4Bharat; Indian Institute Of Technology, Madras), Raj Dabre (Nilekani Centre At AI4Bharat; Indian Institute Of Technology, Madras; Indian Institute Of Technology, Bombay), ACL 2025
"Understand the Implication: Learning to Think for Pragmatic Understanding", Settaluri Lakshmi Sravanthi (Indian Institute Of Technology Bombay, Mumbai, India), Kishan Maharaj (Indian Institute Of Technology Bombay, Mumbai, India), Sravani Gunnu (Indian Institute Of Technology Bombay, Mumbai, India), Abhijit Mishra (University Of Texas At Austin, Texas, United States), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay, Mumbai, India), ACL 2025
"Unifying Streaming and Non-streaming Zipformer-based ASR", Bidisha Sharma (Uniphore, India & USA), Karthik Pandia Durai (Uniphore, India & USA), Shankar Venkatesan (Uniphore, India & USA), Jeena J Prakash (Uniphore, India & USA), Malolan Chetlur (Uniphore, India & USA), Andreas Stolcke (Uniphore, India & USA), Shashi Kumar (Idiap Research Institute, Switzerland), ACL 2025
"USDC: A Dataset of User Stance and Dogmatism in Long Conversations", Mounika Marreddy (Bonn-Aachen International Center For Information Technology, University Of Bonn, Germany; Lamarr Institute For ML And AI, Germany), Subba Reddy Oota (TU Berlin, Germany), Venkata Charan Chinni (Couture.ai, India), Manish Gupta (Microsoft, Hyderabad, India), Lucie Flek (Bonn-Aachen International Center For Information Technology, University Of Bonn, Germany; Lamarr Institute For ML And AI, Germany), ACL 2025
"What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization", Sahil Manchanda (Pocket FM, India), Pannaga Shivaswamy (Pocket FM, India), ACL 2025
"``You are Beautiful, Body Image Stereotypes are Ugly!`` BIStereo: A Benchmark to Measure Body Image Stereotypes in Language Models", Narjis Asad (Indian Institute Of Technology Bombay, India), Nihar Ranjan Sahoo (Indian Institute Of Technology Bombay, India), Rudra Murthy (IBM Research, India), Swaprava Nath (Indian Institute Of Technology Bombay, India), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay, India), ACL 2025
"Mitigating Bias and Enhancing Fairness in Machine Learning Models: A Comprehensive Survey", S Harshit Sai (Nitte Meenakshi Institute Of Technology), ACM Multimedia 2025
"Mitigating Bias and Enhancing Fairness in Machine Learning Models: A Comprehensive Survey", S Harshit Sai (Nitte Meenakshi Institute Of Technology), CV Anusha Reddy (Nitte Meenakshi Institute Of Technology), Anish NC (Nitte Meenakshi Institute Of Technology), Yallamanchi Himabindu (Nitte Meenakshi Institute Of Technology), Y Kushi Reddy (Nitte Meenakshi Institute Of Technology), ACM Multimedia 2025
"A Dataset for Semantic Segmentation in the Presence of Unknowns", Zakaria Laskar (VRG, FEE, Czech Technical University In Prague, Czechia), Tomáš Vojíř (VRG, FEE, Czech Technical University In Prague, Czechia), Matej Grcic (Faculty Of Electrical Engineering And Computing, University Of Zagreb, Croatia), Iaroslav Melekhov (Aalto University, Finland), Shankar Gangisetty (IIIT Hyderabad, India), Juho Kannala (Aalto University, Finland), Jiri Matas (VRG, FEE, Czech Technical University In Prague, Czechia), Giorgos Tolias (VRG, FEE, Czech Technical University In Prague, Czechia), C.V. Jawahar (IIIT Hyderabad, India), CVPR 2025
"Almost Tight Additive Guarantees for k-Edge-Connectivity", Nikhil Kumar (Combinatorics And Optimization (C & O) Tata Institute Of Fundamental Research Mumbai, India), Chaitanya Swamy (University Of Waterloo, Waterloo, Canada), FOCS 2025
"Constant Rate Codes for Adaptive Broadcasts Do Not Exist", Klim Efremenko (Ben-Gurion University, Beersheba, Israel), Gillat Kol (Department Of Computer Science, Princeton University, Princeton, USA), Dmitry Paramonov (Department Of Computer Science, Princeton University, Princeton, USA), Raghuvansh R. Saxena (School Of Technology And Computer Science, Tata Institute Of Fundamental Research, Mumbai, India), FOCS 2025
"Deterministic factorization of constant-depth algebraic circuits in subexponential time", Somnath Bhattacharjee (University Of Toronto, Canada), Mrinal Kumar (TIFR, Mumbai, India), Varun Ramanathan (TIFR, Mumbai, India), Ramprasad Saptharishi (TIFR, Mumbai, India), Shubhangi Saraf (University Of Toronto, Canada), FOCS 2025
"Improved 2-Approximate Shortest Paths for close vertex pairs", Manoj Gupta (IIT Gandhinagar), FOCS 2025
"PEFTDiff: Diffusion-Guided Transferability Estimation for Parameter-Efficient Fine-Tuning", Prafful Kumar Khoba (UQ-IITD Research Academy, New Delhi, India), Zijian Wang (The University Of Queensland, Brisbane, Australia), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), Mahsa Baktashmotlagh (The University Of Queensland, Brisbane, Australia), ICCV 2025
"Semi-Supervised Deep Transfer for Regression Without Domain Alignment", Mainak Biswas (Brain, Computation And Data Sciences), Ambedkar Dukkipati (Computer Science And Automation Indian Institute Of Science, Bangalore), Devarajan Sridharan (Brain, Computation And Data Sciences), ICCV 2025
"TITAN: Query-Token Based Domain Adaptive Adversarial Learning", Tajamul Ashraf (MBZUAI, Masdar City, Abu Dhabi, UAE), Janibul Bashir (NIT Srinagar, Gaash Lab, Hazratbal, Jammu And Kashmir), ICCV 2025
"Understanding Museum Exhibits using Vision-Language Reasoning", Ada-Astrid Balauca (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Sanjana Garai (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Stefan Balauca (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Rasesh Udayakumar Shetty (Indian Institute Of Technology Varanasi (IIT BHU)), Naitik Agrawal (Indian Institute Of Technology Varanasi (IIT BHU)), Dhwanil Subhashbhai Shah (Indian Institute Of Technology Varanasi (IIT BHU)), Yuqian Fu (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Xi Wang (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Kristina Toutanova (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Danda Pani Paudel (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), Luc Van Gool (INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria), ICCV 2025
"CGLE: Class-Label Graph Link Estimator for Link Prediction", Ankit Mazumder (Yardi School Of Artificial Intelligence, Indian Institute Of Technology, Delhi, India), Srikanta Bedathur (Department Of Computer Science And Engineering, Yardi School Of Artificial Intelligence, Indian Institute Of Technology, Delhi, India), ICDM 2025
"D-HUMOR: Dark Humor Understanding Via Multimodal Open-Ended Reasoning", Sai Kartheek Reddy Kasu (Indian Institute Of Information Technology, Dharwad, India), Mohammad Zia Ur Rehman (Indian Institute Of Technology, Indore, India), Shahid Shafi Dar (Indian Institute Of Technology, Indore, India), Rishi Bharat Junghare (Indian Institute Of Technology, Indore, India), Dhanvin Sanjay Namboodiri (Malaviya National Institute Of Technology, Jaipur, India), Nagendra Kumar (Indian Institute Of Technology, Indore, India), ICDM 2025
"Koopman Spectral Dynamics for Interpretable and Predictive Semantic Drift in Language Models", Satyam Mishra (Kim Jaechul Graduate School Of AI, Korea Advanced Institute Of Science & Technology, Daejeon, South Korea), Vi Phung (Marketing Department, Vietnam National University, Hanoi, Vietnam), Phuc Vu (Engineering Department, Vietnam National Univesity, Hanoi, Vietnam), Shivam Mishra (Engineering Department, Vietnam National Univesity, Hanoi, Vietnam), Sundaram Mishra (Electrical Engineering, Bikaner Technical University, Bikaner, India), Vishwanath Bijalwan (Computer Science Engineering, Amity University, Punjab, India), ICDM 2025
"ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks", Prakash Chandra Chhipa (RISE Research Institutes Of Sweden AB, SE), Gautam Vashishtha (Skan.ai, India), Settur Jithamanyu (Unknown), Rajkumar Saini (Lulea University Of Technology , SE), Mubarak Shah (Amazon, United States), Marcus Liwicki (Luleå University Of Technology, SE), ICLR 2025
"BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts", Divya Jyoti Bajpai (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Manjesh Kumar Hanawal (Indian Institute Of Technology Bombay, India), ICLR 2025
"Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks", Manohar Kaul (Fujitsu Research And Development Center Co. Ltm., India), Aditya Saibewar (Fujitsu Research And Development Center Co. Ltm., India), Sadbhavana Babar (Fujitsu Research And Development Center Co. Ltm., India), ICLR 2025
"Bonsai: Gradient-free Graph Condensation for Node Classification", Mridul Gupta (Indian Institute Of Technology, Delhi, India), Samyak Jain (Indian Institute Of Technology, Delhi, India), Vansh Ramani (Indian Institute Of Technology, Delhi, India), HARIPRASAD KODAMANA (Indian Institute Of Technology, Delhi), Sayan Ranu (Indian Institute Of Technology Delhi, India), ICLR 2025
"Bridging the Data Provenance Gap Across Text, Speech, and Video", Shayne Longpre (Massachusetts Institute Of Technology, United States), Nikhil Singh (Dartmouth College, United States), Manuel Cherep (Massachusetts Institute Of Technology, United States), Kushagra Tiwary (Massachusetts Institute Of Technology, United States), Joanna Materzynska (Facebook, United States), William Brannon (Bluesky, United States), Robert Mahari (Harvard University), Naana Obeng-Marnu (Massachusetts Institute Of Technology, United States), Manan Dey (SalesForce.com, India), Mohammed Hamdy (Independent), Nayan Saxena (MLC, Canada), Ahmad Mustafa Anis (Roll, United States), Emad A. Alghamdi (Unknown), Vu Minh Chien (Tohoku University, Tokyo Institute Of Technology, Japan), Da Yin (FAIR @ Meta Superintelligence Lab (MSL), United States), Kun Qian (Columbia University), Yizhi LI (University Of Manchester , United Kingdom), Minnie Liang (Massachusetts Institute Of Technology, United States), An Dinh (Massachusetts Institute Of Technology, United States), Shrestha Mohanty (Massachusetts Institute Of Technology), Deividas Mataciunas (International School Of Management), Tobin South (Stanford University, United States), Jianguo Zhang (SalesForce AI Research, United States), Ariel N. Lee (Codemetal AI, United States), Campbell S. Lund (University Of Edinburgh, University Of Edinburgh, United Kingdom), Christopher Klamm (University Of Cologne, Germany), Damien Sileo (Unknown), Diganta Misra (Aleph Alpha Research, Germany), Enrico Shippole (Teraflop AI, United States), Kevin Klyman (Stanford University), Lester James Validad Miranda (University Of Cambridge, United Kingdom), Niklas Muennighoff (Stanford University, United States), Seonghyeon Ye (Korea Advanced Institute Of Science And Technology, South Korea), Seungone Kim (Carnegie Mellon University, United States), Vipul Gupta (Scale AI, United States), Vivek Sharma (Sony Research, Switzerland), Xuhui Zhou (CMU, Carnegie Mellon University, United States), Caiming Xiong (Salesforce Research, United States), Luis Villa (Luis Villa Law), Stella Biderman (EleutherAI, United States), Alex `Sandy` Pentland (Massachusetts Institute Of Technology, United States), Sara Hooker (Unknown), Jad Kabbara (Massachusetts Institute Of Technology, United States), ICLR 2025
"Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference", Aniket Vashishtha (Stanford University, United States), Abbavaram Gowtham Reddy (CISPA Helmholtz Center For Information Security, Germany), Abhinav Kumar (Massachusetts Institute Of Technology), Saketh Bachu (University Of California, Riverside, United States), Vineeth N. Balasubramanian (Unknown), Amit Sharma (Microsoft Research, India), ICLR 2025
"Charting the Design Space of Neural Graph Representations for Subgraph Matching", Vaibhav Raj (Indian Institute Of Technology, Bombay), Indradyumna Roy (Indian Institute Of Technology Bombay, India), Ashwin Ramachandran (University Of California, San Diego, United States), Soumen Chakrabarti (Indian Institute Of Technology Bombay), Abir De (Indian Institute Of Technology Bombay,, India), ICLR 2025
"Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations", Indradyumna Roy (Indian Institute Of Technology Bombay, India), Eeshaan Jain (EPFL - EPF Lausanne, Switzerland), Soumen Chakrabarti (Indian Institute Of Technology Bombay), Abir De (Indian Institute Of Technology Bombay,, India), ICLR 2025
"Collab: Controlled Decoding using Mixture of Agents for LLM Alignment", Souradip Chakraborty (University Of Maryland, College Park, United States), Sujay Bhatt (JP Morgan AI Research, United States), Udari Madhushani Sehwag (Unknown), Soumya Suvra Ghosal (Adobe Research, India), Jiahao Qiu (Princeton University, United States), Mengdi Wang (Princeton University, United States), Dinesh Manocha (University Of Maryland, College Park, United States), Furong Huang (University Of Maryland, United States), Alec Koppel (Johns Hopkins University Applied Physics Laboratory, United States), Sumitra Ganesh (J.P. Morgan Chase), ICLR 2025
"Computational Explorations of Total Variation Distance", Arnab Bhattacharyya (The University Of Warwick, United Kingdom), Sutanu Gayen (Indian Institute Of Technology, Kanpur, India), Kuldeep S. Meel (Georgia Institute Of Technology, United States), Dimitrios Myrisiotis (Great Bay University, China), A. Pavan (Iowa State University, United States), N. V. Vinodchandran (Unknown), ICLR 2025
"Consistency Checks for Language Model Forecasters", Daniel Paleka (Department Of Computer Science, ETHZ - ETH Zurich, Switzerland), Abhimanyu Pallavi Sudhir (University Of Warwick, United Kingdom), Alejandro Alvarez (Independent), Vineeth Bhat (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Adam Shen (Columbia University, United States), Evan Wang (Cornell University, United States), Florian Tramèr (Unknown), ICLR 2025
"Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)", SUBBA REDDY OOTA (Technische Universität Berlin, Germany), Akshett Rai Jindal (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Ishani Mondal (University Of Maryland, College Park, India), Khushbu Pahwa (Amazon, United States), Satya Sai Srinath Namburi GNVV (GE HealthCare, United States), Manish Shrivastava (International Institute Of Information Technology Hyderabad, India, India), Maneesh K. Singh (Spector Inc, United States), Bapi Raju Surampudi (International Institute Of Information Technology Hyderabad, India), Manish Gupta (Microsoft, India), ICLR 2025
"DarkBench: Benchmarking Dark Patterns in Large Language Models", Esben Kran (Apart Research, United States), Hieu Minh Nguyen (University Of Science And Technology Of Hanoi, VN), Akash Kundu (Heritage Institute Of Technology, India), Sami Jawhar (Trajectory Labs, United States), Jinsuk Park (Pohang University Of Science And Technology, South Korea), Mateusz Maria Jurewicz (IT University Of Copenhagen), ICLR 2025
"Deep Networks Learn Features From Local Discontinuities in the Label Function", Prithaj Banerjee (Indian Institute Of Technology, Madras, India), Harish Guruprasad Ramaswamy (Indian Institute Of Technology Madras,, India), Mahesh Lorik Yadav (Indian Institute Of Technology, Madras), Chandra Shekar Lakshminarayanan (Indian Institute Of Technology, Madras, India), ICLR 2025
"DiscoveryBench: Towards Data-Driven Discovery with Large Language Models", Bodhisattwa Prasad Majumder (Allen Institute For Artificial Intelligence), Harshit Surana (Allen Institute For Artificial Intelligence, United States), Dhruv Agarwal (University Of Massachusetts Amherst, United States), Bhavana Dalvi Mishra (Unknown), Abhijeetsingh Meena (Pandit Deendayal Petroleum University, India), Aryan Prakhar (Indian Institute Of Technology (Banaras Hindu University) Varanasi, India), Tirth Vora (OpenLocus, India), Tushar Khot (Allen Institute For Artificial Intelligence, United States), Ashish Sabharwal (Allen Institute For AI, United States), Peter Clark (Allen Institute For Artificial Intelligence, United States), ICLR 2025
"Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?", Sravanti Addepalli (Google DeepMind, India), Yerram Varun (New York University, India), Arun Suggala (Google, India), Karthikeyan Shanmugam (Google Deepmind, India), Prateek Jain (Google, India), ICLR 2025
"Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining", Daouda Sow (Ohio State University, United States), Herbert Woisetschläger (Technical University Of Munich, Germany), Saikiran Bulusu (International Institute Of Information Technology Hyderabad, India), Shiqiang Wang (University Of Exeter, United Kingdom), Hans Arno Jacobsen (University Of Toronto, Canada), Yingbin Liang (The Ohio State University, United States), ICLR 2025
"Efficient Causal Decision Making with One-sided Feedback", Jianing Chu (Amazon, United States), Shu Yang (North Carolina State University, United States), Wenbin Lu (North Carolina State University, United States), PULAK GHOSH (Indian Institute Of Management), ICLR 2025
"EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING", Aditya Ramesh (Fujitsu Research And Development Center Co. Ltm., India), Shivam Bhardwaj (Fujitsu Research And Development Center Co. Ltm., India), Aditya Saibewar (Fujitsu Research And Development Center Co. Ltm., India), Manohar Kaul (Fujitsu Research And Development Center Co. Ltm., India), ICLR 2025
"From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle", Kaustubh Vyas (Quillbot Inc., India), Damien Graux (EcoVadis, United Kingdom), Yijun Yang (Unknown), Sebastien Montella (Huawei Technologies Ltd., United Kingdom), Chenxin Diao (University Of Edinburgh, University Of Edinburgh, United Kingdom), Wendi Zhou (University Of Edinburgh, University Of Edinburgh, United Kingdom), Pavlos Vougiouklis (Huawei Technologies Ltd., United Kingdom), Ruofei Lai (University Of Pittsburgh), Yang Ren (Huawei Technologies Ltd., China), Keshuang Li (Huawei Technologies Ltd., United Kingdom), Jeff Z. Pan (University Of Edinburgh, University Of Edinburgh, United Kingdom), ICLR 2025
"GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment", Aishwarya Jayagopal (Google, India), Yanrong Zhang (National University Of Singapore, Singapore), Robert John Walsh (National University Cancer Institute, Singapore), Tuan Zea Tan (National University Of Singapore, Singapore), Anand D Jeyasekharan (National University Of Singapore), Vaibhav Rajan (Google, India), ICLR 2025
"ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset", Kartik Thakral (Dolby, India), Rishabh Ranjan (Unknown), Akanksha Singh (Indian Institute Of Technology, Madras, India), Akshat Jain (Indian Institute Of Technology, Jodhpur, India), Mayank Vatsa (Indian Institute Of Technology Jodhpur, India, India), Richa Singh (Indian Institute Of Technology Jodhpur, India, India), ICLR 2025
"It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation", Sohan Patnaik (Adobe Systems, India), Milan Aggarwal (Unknown), Sumit Bhatia (Adobe Systems, India), Balaji Krishnamurthy (Machlear Technologies Pvt. Ltd, India), ICLR 2025
"LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions", Ravindran Kannan (Ravindran Kannan, United States), Chiranjib Bhattacharyya (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Praneeth Kacham (Google, United States), David Woodruff (Carnegie Mellon University), ICLR 2025
"LiveBench: A Challenging, Contamination-Limited LLM Benchmark", Colin White (Facebook, United States), Samuel Dooley (Facebook, United States), Manley Roberts (Unknown), Arka Pal (Ritual AI, United States), Benjamin Feuer (Computer Science Department, Stanford University, United States), Sid Jain (NVIDIA, United States), Ravid Shwartz-Ziv (Unknown), Neel Jain (Apple, United States), Khalid Saifullah (University Of Maryland, College Park, United States), Sreemanti Dey (Indian Institute Of Technology, Delhi, India), Shubh-Agrawal (Abacus.ai, India), Sandeep Singh Sandha (Abacus Inc, United States), Siddartha Venkat Naidu (Carnegie Mellon University), Chinmay Hegde (New York University, United States), Yann LeCun (Meta, United States), Tom Goldstein (University Of Maryland, College Park, United States), Willie Neiswanger (University Of Southern California, United States), Micah Goldblum (Columbia University, United States), ICLR 2025
"LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models", Priyank Pathak (University Of Central Florida, United States), Shyam Marjit (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Shruti Vyas (University Of Central Florida, United States), Yogesh S Rawat (University Of Central Florida, United States), ICLR 2025
"MaestroMotif: Skill Design from Artificial Intelligence Feedback", Martin Klissarov (Google, United Kingdom), Mikael Henaff (Meta, United States), Roberta Raileanu (Unknown), Shagun Sodhani (Google, India), Pascal Vincent (University Of Montreal), Amy Zhang (Unknown), Pierre-Luc Bacon (University Of Montreal), Doina Precup (DeepMind), Marlos C. Machado (University Of Alberta, Canada), Pierluca D`Oro (Facebook, United States), ICLR 2025
"Measuring And Improving Engagement of Text-to-Image Generation Models", Varun Khurana (Adobe Systems, India), Yaman Kumar Singla (Unknown), Jayakumar Subramanian (Adobe Systems, United States), Changyou Chen (State University Of New York At Buffalo, United States), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, India), Zhiqiang Xu (Mohamed Bin Zayed University Of Artificial Intelligence, China), Balaji Krishnamurthy (Machlear Technologies Pvt. Ltd, India), ICLR 2025
"Measuring And Improving Persuasiveness Of Large Language Models", Somesh Kumar Singh (Indraprastha Institute Of Information Technology, Delhi, India), Yaman Kumar Singla (Unknown), Harini S I (Adobe Systems, India), Balaji Krishnamurthy (Machlear Technologies Pvt. Ltd, India), ICLR 2025
"MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion", Onkar Kishor Susladkar (University Of Illinois At Urbana-Champaign, United States), Jishu Sen Gupta (Indian Institute Of Technology (Banaras Hindu University) Varanasi, India), Chirag Sehgal (Delhi Technological University (Delhi College Of Engineering), India), Sparsh Mittal (Indian Institution Technology Roorkee, India), Rekha Singhal (Tata Consultancy Services Limited, India, United States), ICLR 2025
"Multi-modal brain encoding models for multi-modal stimuli", SUBBA REDDY OOTA (Technische Universität Berlin, Germany), Khushbu Pahwa (Amazon, United States), Mounika Marreddy (Johann Wolfgang Goethe Universität Frankfurt Am Main, Germany), Maneesh K. Singh (Spector Inc, United States), Manish Gupta (Microsoft, India), Bapi Raju Surampudi (International Institute Of Information Technology Hyderabad, India), ICLR 2025
"Neural Wave Equation for Irregularly Sampled Sequence Data", Arkaprava Majumdar (Indian Institute Of Technology, Hyderabad, India), M Anand Krishna (Indian Institute Of Technology, Hyderabad, Dhirubhai Ambani Institute Of Information And Communication Technology, India), P. K. Srijith (Unknown), ICLR 2025
"ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS", Sujoy Bhore (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Devdan Dey (Indian Institute Of Technology, Bombay, India), Satyam Singh (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), ICLR 2025
"Periodic Materials Generation using Text-Guided Joint Diffusion Model", KISHALAY DAS (Indian Institute Of Technology Kharagpur,, India), Subhojyoti Khastagir (Indian Institute Of Technology, Kharagpur, India), Pawan Goyal (IIT Kharagpur, India), Seung-Cheol Lee (Indo Korea Science And Technology Center, Bangalore, India, India), Satadeep Bhattacharjee (Indo Korea Science And Technology Center, Bangalore, India), Niloy Ganguly (Indian Institute Of Technology Kharagpur,, India), ICLR 2025
"Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models", Laura Ruis (Unknown), Maximilian Mozes (Cohere, United Kingdom), Juhan Bae (University Of Toronto, Canada), Siddhartha Rao Kamalakara (Cohere), Dwaraknath Gnaneshwar (Manipal Institute Of Technology), Acyr Locatelli (Cohere, United Kingdom), Robert Kirk (UK AI Security Institute, United Kingdom), Tim Rocktäschel (Unknown), Edward Grefenstette (Google DeepMind), Max Bartolo (Google DeepMind, United Kingdom), ICLR 2025
"Quantum (Inspired) $D^2$-sampling with Applications", Poojan Chetan Shah (Indian Institute Of Technology, Delhi), Ragesh Jaiswal (Indian Institute Of Technology, Delhi, United States), ICLR 2025
"Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon", USVSN Sai Prashanth (Microsoft, India), Alvin Deng (DatologyAI, United States), Kyle O`Brien (Microsoft), Jyothir S V (New York University), Mohammad Aflah Khan (EleutherAI, United States), Jaydeep Borkar (Northeastern University, United States), Christopher A. Choquette-Choo (OpenAI, United States), Jacob Ray Fuehne (University Of Illinois At Urbana-Champaign, United States), Stella Biderman (EleutherAI, United States), Tracy Ke (Unknown), Katherine Lee (Google, United States), Naomi Saphra (Boston University, Boston University, United States), ICLR 2025
"Robust Root Cause Diagnosis using In-Distribution Interventions", Lokesh Nagalapatti (Microsoft, India), Ashutosh Srivastava (Google, India), Sunita Sarawagi (IIT Bombay, India), Amit Sharma (Microsoft Research, India), ICLR 2025
"SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance", Kunal Singh (Fractal Analytics, India), Ankan Biswas (Fractal, India), Sayandeep Bhowmick (Indian Institute Of Technology Kharagpur, India), Pradeep Moturi (Fractal AI, India), Siva Kishore Gollapalli (Indian Institute Of Technology, Bombay, India), ICLR 2025
"Sensitivity Verification for Additive Decision Tree Ensembles", Arhaan Ahmad (Indian Institute Of Technology, Bombay, India), Tanay Vineet Tayal (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Ashutosh Gupta (IIT Bombay, India), S. Akshay (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), ICLR 2025
"Surprising Effectiveness of pretraining Ternary Language Model at Scale", Ayush Kaushal (Université De Montréal, Canada), Tejas Vaidhya (Mila - Quebec Artificial Intelligence Institute), Arnab Kumar Mondal (Apple, United States), Tejas Pandey (Indian Institute Of Technology Kharagpur, India), Aaryan Bhagat (University Of California, Riverside), Irina Rish (University Of Montreal, Canada), ICLR 2025
"Teaching Human Behavior Improves Content Understanding Abilities Of VLMs", Somesh Kumar Singh (Indraprastha Institute Of Information Technology, Delhi, India), Harini S I (Adobe Systems, India), Yaman Kumar Singla (Unknown), Changyou Chen (State University Of New York At Buffalo, United States), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, India), Veeky Baths (Birla Institute Of Technology And Science), Balaji Krishnamurthy (Machlear Technologies Pvt. Ltd, India), ICLR 2025
"Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression", Megh Shukla (EPFL - EPF Lausanne, Switzerland), Aziz Shameem (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Mathieu Salzmann (Swiss Data Science Center, Switzerland), Alexandre Alahi (EPFL, Switzerland), ICLR 2025
"Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing", Peihao Wang (University Of Texas, Austin, United States), Ruisi Cai (University Of Texas At Austin, United States), Yuehao Wang (University Of Texas At Austin, United States), Jiajun Zhu (University Of Texas At Austin, United States), Pragya Srivastava (Google DeepMind, India), Zhangyang Wang (University Of Texas At Austin, United States), Pan Li (Georgia Institute Of Technology), ICLR 2025
"You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning", Ayan Sengupta (Indian Institute Of Technology, Delhi, India), Siddhant Chaudhary (Unknown), Tanmoy Chakraborty (Indian Institute Of Technology, Delhi, India), ICLR 2025
"A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks", Varshita Kolipaka (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Akshit Sinha (University Of Cambridge, United Kingdom), Debangan Mishra (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Sumit Kumar (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Arvindh A (ELLIS, University Of Stuttgart, Germany), Shashwat Goel (ELLIS, Max Planck Institute, Germany), Ponnurangam Kumaraguru (International Institute Of Information Technology Hyderabad , India), ICML 2025
"A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems", Manan Tayal (Microsoft Research, India), Aditya Singh (University Of Pennsylvania, United States), Shishir Kolathaya (Unknown), Somil Bansal (Stanford University, United States), ICML 2025
"A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach", Swetha Ganesh (Purdue University, United States), Washim Uddin Mondal (Indian Institute Of Technology, Kanpur, India), Vaneet Aggarwal (Purdue University, United States), ICML 2025
"Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery", Pratinav Seth (Lexsi.ai, India), Michelle Lin (Université De Montréal, Canada), BREFO DWAMENA YAW (Aya Data, GH), Jade Boutot (McGill University, McGill University), Mary Kang (McGill University, Canada), David Rolnick (McGill University, Canada), ICML 2025
"AMPO: Active Multi Preference Optimization for Self-play Preference Selection", Taneesh Gupta (Microsoft, India), Rahul Madhavan (Google, India), Xuchao Zhang (Microsoft, United States), Chetan Bansal (Microsoft, United States), Saravan Rajmohan (Microsoft, United States), ICML 2025
"Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack", Tiansheng Huang (Georgia Institute Of Technology, United States), Gautam Bhattacharya (McGill University), Pratik Joshi (Dolby, India), Joshua Kimball (Dolby, United States), Ling Liu (Georgia Institute Of Technology, United States), ICML 2025
"Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders", Kuheli Pratihar (Indian Institute Of Technology Kharagpur, India), Debdeep Mukhopadhyay (Indian Institute Of Technology Kharagpur), ICML 2025
"Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time", Mohamad Fares El Hajj Chehade (University Of Texas At Austin, United States), Soumya Suvra Ghosal (Adobe Research, India), Souradip Chakraborty (University Of Maryland, College Park, United States), Avinash Reddy (University Of Central Florida, United States), Dinesh Manocha (University Of Maryland, College Park, United States), Hao Zhu (University Of Texas At Austin, United States), Amrit Singh Bedi (Unknown), ICML 2025
"Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting", J Rishi (Indian Institute Of Science, Bangalore, India), GVS Mothish (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Deepak Subramani (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), ICML 2025
"Discovering a Zero (Zero-Vector Class of Machine Learning)", Harikrishna Metta (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Venkatesh Babu R (Indian Institute Of Science, India), ICML 2025
"DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing", Alexander Bienstock (J.P. Morgan Chase, United States), Ujjwal Kumar (J.P. Morgan Chase, India), Antigoni Polychroniadou (J.P. Morgan AI Research , United States), ICML 2025
"Emergence in non-neural models: grokking modular arithmetic via average gradient outer product", Neil Rohit Mallinar (University Of California, San Diego, United States), Daniel Beaglehole (University Of California, San Diego), Libin Zhu (University Of Washington, United States), Adityanarayanan Radhakrishnan (Massachusetts Institute Of Technology, United States), Parthe Pandit (Indian Institute Of Technology, Bombay, India), Mikhail Belkin (Unknown), ICML 2025
"Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements", Arya Mazumdar (University Of California, San Diego, United States), Neha Sangwan (Tata Institute Of Fundamental Research, India), ICML 2025
"GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code", Samidha Verma (Indian Institute Of Technology, Delhi, India), Arushi Goyal (Indian Institute Of Technology, Delhi, India), Ananya Mathur (Indian Institute Of Technology, Delhi, India), Ankit Anand (Unknown), Sayan Ranu (Indian Institute Of Technology Delhi, India), ICML 2025
"Graph-Based Algorithms for Diverse Similarity Search", Piyush Anand (Microsoft, India), Piotr Indyk (Massachusetts Institute Of Technology, United States), Ravishankar Krishnaswamy (School Of Computer Science, Carnegie Mellon University), Sepideh Mahabadi (Microsoft Research, United States), Vikas C. Raykar (Amazon, India), Kirankumar Shiragur (Microsoft Research, India), Haike Xu (Massachusetts Institute Of Technology, United States), ICML 2025
"Great Models Think Alike and this Undermines AI Oversight", Shashwat Goel (ELLIS, Max Planck Institute, Germany), Joschka Strüber (Eberhard-Karls-Universität Tübingen, Germany), Ilze Amanda Auzina (Eberhard-Karls-Universität Tübingen, Germany), Karuna K Chandra (International Institute Of Information Technology, Hyderabad, International Institute Of Information Technology Hyderabad, India), Ponnurangam Kumaraguru (International Institute Of Information Technology Hyderabad , India), Douwe Kiela (Stanford University), Ameya Prabhu (Eberhard-Karls-Universität Tübingen, Germany), Matthias Bethge (University Of Tuebingen, Germany), Jonas Geiping (ELLIS Institute Tübingen, Germany), ICML 2025
"Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres", Muskan Dosi (Indian Institute Of Technology, Jodhpur, India), Chiranjeev Chiranjeev (Indian Institute Of Technology, Jodhpur, India), Kartik Thakral (Dolby, India), Mayank Vatsa (Indian Institute Of Technology Jodhpur, India, India), Richa Singh (Indian Institute Of Technology Jodhpur, India, India), ICML 2025
"Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions", Supratim Shit (Indraprastha Institute Of Information Technology, Delhi, India), Gurmehak Kaur Chadha (Indraprastha Institute Of Information Technology, Delhi, India), Surendra Kumar (Indraprastha Institute Of Information Technology, Delhi, India), Bapi Chatterjee (Indraprastha Institute Of Information Technology, Delhi, India), ICML 2025
"Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms", Sho Takemori (Fujitsu Research And Development Center Co. Ltm., Japan), Yuhei Umeda (Fujitsu LIMITED, Japan), Aditya Gopalan (Indian Institute Of Science, India), ICML 2025
"LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation", Piyush Tiwary (Indian Institute Of Science, India), Kinjawl Bhattacharyya (University Of North Carolina At Chapel Hill, United States), Prathosh AP (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), ICML 2025
"Latent Mamba Operator for Partial Differential Equations", Karn Tiwari (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), Niladri Dutta (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), N M Anoop Krishnan (Indian Institute Of Technology Delhi), Prathosh AP (Indian Institute Of Science, Indian Institute Of Science, Bangalore, India), ICML 2025
"Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction", Ankit Ghosh (Indian Institute Of Technology, Bombay, India), Gargee Kashyap (Indian Institute Of Technology, Bombay, India), Sarthak Mittal (Indian Institute Of Technology, Bombay, Dhirubhai Ambani Institute Of Information And Communication Technology, India), Nupur Jain (Indian Institute Of Technology Bombay, Indian Institute Of Technology, Bombay, India), Raghavan B Sunoj (Department Of Chemistry And Centre For Machine Intelligence And Data Science, Indian Institute Of Technology, Bombay), Abir De (Indian Institute Of Technology Bombay,, India), ICML 2025
"Masked Generative Nested Transformers with Decode Time Scaling", Sahil Goyal (Google DeepMind, India), Debapriya Tula (University Of California, Los Angeles, United States), Gagan Jain (Microsoft AI, India), Pradeep Shenoy (Google, India), Prateek Jain (Google, India), Sujoy Paul (Google, India), ICML 2025
"Matryoshka Quantization", Pranav Ajit Nair (Harvard University, Harvard University, United States), Puranjay Datta (Google, India), Jeff Dean (Google), Prateek Jain (Google, India), Aditya Kusupati (Google DeepMind, United States), ICML 2025
"MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models", Jeffrey A Chan Santiago (University Of Central Florida, United States), Praveen Tirupattur (Snapshots Inc., United States), Gaurav Kumar Nayak (IIT Roorkee , India), Gaowen Liu (Cisco Systems, United States), Mubarak Shah (Amazon, United States), ICML 2025
"MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification", Suchith Chidananda Prabhu (Indian Institute Of Technology, Delhi, India), Bhavyajeet Singh (Technische Universität Darmstadt, Germany), Anshul Mittal (Microsoft, India), Siddarth Asokan (Microsoft, India), Shikhar Mohan (Microsoft, India), Deepak Saini (Microsoft, United States), Yashoteja Prabhu (Microsoft, India), Lakshya Kumar (Microsoft, India), Jian Jiao (Microsoft, United States), Amit S (Microsoft, India), Niket Tandon (Research, Microsoft, United States), Manish Gupta (Microsoft, India), Sumeet Agarwal (Indian Institute Of Technology Delhi, India), Manik Varma (Research, Microsoft, India), ICML 2025
"Near Optimal Best Arm Identification for Clustered Bandits", Yash (Indian Institute Of Technology, Bombay, India), Avishek Ghosh (Indian Institute Of Technology, Bombay, India), Nikhil Karamchandani (Indian Institute Of Technology, Bombay), ICML 2025
"NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits", Tushar Aggarwal (Stanford University, United States), Swayam Singh (Microsoft, India), Abhijeet Awasthi (Meta AI, United States), Aditya Kanade (Google, India), Nagarajan Natarajan (Microsoft, India), ICML 2025
"Optimal Fair Learning Robust to Adversarial Distribution Shift", Sushant Agarwal (University Of Waterloo), Amit Deshpande (Microsoft Research, India), Rajmohan Rajaraman (Northeastern University), Ravi Sundaram (Northeastern University), ICML 2025
"Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach", Parikshit Pareek (Indian Institute Of Technology Roorkee, India), Abhijith Jayakumar (Los Alamos National Laboratory, United States), Kaarthik Sundar (Los Alamos National Laboratory), Sidhant Misra (Los Alamos National Laboratory), Deepjyoti Deka (Massachusetts Institute Of Technology, United States), ICML 2025
"Policy Gradient with Tree Expansion", Gal Dalal (Unknown), Assaf Hallak (NVIDIA, Israel), Gugan Thoppe (Indian Institute Of Science, India), Shie Mannor (Technion - Israel Institute Of Technology, Technion, Israel), Gal Chechik (Bar Ilan University, Israel), ICML 2025
"Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty", Meera Hahn (Google, United States), Wenjun Zeng (Google, United States), Nithish Kannen (Google DeepMind, India), Rich Galt (Google DeepMind, United Kingdom), Kartikeya Badola (Google), Been Kim (Google DeepMind), Zi Wang (Google DeepMind, United States), ICML 2025
"RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation", Xinnuo Xu (Microsoft), Rachel Lawrence (Microsoft Research , United Kingdom), Kshitij Dubey (Research, Microsoft, India), Atharva Pandey (Microsoft, India), Risa Ueno (Microsoft, United Kingdom), Fabian Falck (Microsoft Research, United Kingdom), Aditya V. Nori (Microsoft Research, United Kingdom), Rahul Sharma (Microsoft), Amit Sharma (Microsoft Research, India), Javier Gonzalez (Microsoft, United Kingdom), ICML 2025
"Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization", Suryanarayana Sankagiri (Indian Institute Of Technology, Madras, India), Jalal Etesami (Technische Universität München, Germany), Matthias Grossglauser (EPFL, Switzerland), ICML 2025
"Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift", Seongho Son (University College London, University Of London, United Kingdom), William Bankes (University College London, University Of London), Sayak Ray Chowdhury (Indian Institute Of Technology, Kanpur, India), Brooks Paige (University College London), Ilija Bogunovic (Unknown), ICML 2025
"Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs", Siddharth Gollapudi (University Of California, Berkeley, United States), Ravishankar Krishnaswamy (School Of Computer Science, Carnegie Mellon University), Kirankumar Shiragur (Microsoft Research, India), Harsh Wardhan (Microsoft, India), ICML 2025
"STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings", Saksham Rastogi (Research, Microsoft, India), Pratyush Maini (Carnegie Mellon University), Danish Pruthi (Indian Institute Of Science, Bangalore , India), ICML 2025
"Teaching Transformers Causal Reasoning through Axiomatic Training", Aniket Vashishtha (Stanford University, United States), Abhinav Kumar (Massachusetts Institute Of Technology), Atharva Pandey (Microsoft, India), Abbavaram Gowtham Reddy (CISPA Helmholtz Center For Information Security, Germany), Kabir Ahuja (Microsoft), Vineeth N. Balasubramanian (Unknown), Amit Sharma (Microsoft Research, India), ICML 2025
"The Missing Alignment Link of In-context Learning on Sequences", Harshvardhan Agarwal (Stanford University, United States), Sunita Sarawagi (IIT Bombay, India), ICML 2025
"Beyond the Map: Learning to Navigate Unseen Urban Dynamics Using Diffusion-Guided Deep Reinforcement Learning", Monu Nagar (Indian Institute Of Technology Jodhpur, India), Debasis Das (Indian Institute Of Technology Jodhpur, India), IJCAI 2025
"Continuous-Time Reward Machines", Amin Falah (University Of Colorado Boulder), Shibashis Guha (Tata Institute Of Fundamental Research), Ashutosh Trivedi (University Of Colorado Boulder), IJCAI 2025
"Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settings∗", Yasmeena Akhter (Indian Institute Of Technology Jodhpur, India), IJCAI 2025
"Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator", Supratik Basu (Department Of Statistical Science, Duke University, USA), Jyotishka Ray Choudhury (H. Milton Stewart School Of Industrial And Systems Engineering, Georgia Institute Of Technology, USA), Debolina Paul (Machine Learning Research Laboratory, ECSU, Indian Statistical Institute, Kolkata, India), Swagatam Das (Electronics And Communication Sciences Unit, Indian Statistical Institute, Kolkata, India), IJCAI 2025
"Efficient Algorithms for Electing Successive Committees", Pallavi Jain (Indian Institute Of Technology, Jodhpur, India), Andrzej Kaczmarczyk (Department Of Computer Science, The University Of Chicago, Chicago, United States), IJCAI 2025
"Evolvable Conditional Diffusion", Zhao Wei (Centre For Frontier AI Research, Agency For Science, Technology And Research, Singapore; Institute Of High Performance Computing, Agency For Science, Technology And Research, Singapore), Chin Chun Ooi (Centre For Frontier AI Research, Agency For Science, Technology And Research, Singapore; Institute Of High Performance Computing, Agency For Science, Technology And Research, Singapore), Abhishek Gupta (School Of Mechanical Sciences, Indian Institute Of Technology, Goa, India), Jian Cheng Wong (Institute Of High Performance Computing, Agency For Science, Technology And Research, Singapore), Pao-Hsiung Chiu (Institute Of High Performance Computing, Agency For Science, Technology And Research, Singapore), Sheares Xue Wen Toh (Institute Of High Performance Computing, Agency For Science, Technology And Research, Singapore), Yew-Soon Ong (Centre For Frontier AI Research, Agency For Science, Technology And Research, Singapore; College Of Computing And Data Science, Nanyang Technological University, Singapore), IJCAI 2025
"How to Resolve Envy by Adding Goods", Matthias Bentert (University Of Bergen, Norway), Robert Bredereck (TU Clausthal, Germany), Eva Deltl (TU Clausthal, Germany), Pallavi Jain (Indian Institute Of Technology Jodhpur, India), Leon Kellerhals (TU Clausthal, Germany), IJCAI 2025
"Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning", Somnath Hazra (Indian Institute Of Technology Kharagpur, India), Pallab Dasgupta (Synopsys, USA), Soumyajit Dey (Indian Institute Of Technology Kharagpur, India), IJCAI 2025
"LP-Based Weighted Model Integration over Non-Linear Real Arithmetic", S. Akshay (Indian Institute Of Technology Bombay), Supratik Chakraborty (Indian Institute Of Technology Bombay), Soroush Farokhnia (Hong Kong University Of Science And Technology), Amir Goharshady (University Of Oxford), Harshit Jitendra Motwani (Max Planck Institute For Software Systems), Ðor ¯de ˇZikeli´c (Singapore Management University), IJCAI 2025
"Moral Compass: A Data-Driven Benchmark for Ethical Cognition in AI", Aisha Aijaz (IIIT-Delhi), Arnav Batra (IIIT-Delhi), Aryaan Bazaz (IIIT-Delhi), Srinath Srinivasa (IIIT-Bangalore), Raghava Mutharaju (IIIT-Delhi), Manohar Kumar (IIIT-Delhi), IJCAI 2025
"More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules", Sushmita Gupta (The Institute Of Mathematical Sciences, HBNI), Pallavi Jain (Indian Institute Of Technology Jodhpur), Souvik Saha (The Institute Of Mathematical Sciences, HBNI), Saket Saurabh (The Institute Of Mathematical Sciences, HBNI), Anannya Upasana (The Institute Of Mathematical Sciences, HBNI), IJCAI 2025
"Optimal Capacity Modification for Stable Matchings with Ties", Keshav Ranjan (IIT Madras), Meghana Nasre (IIT Madras), Prajakta Nimbhorkar (Chennai Mathematical Institute And UMI ReLaX), IJCAI 2025
"REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs", Madhur Jindal (Microsoft, India), Saurabh Deshpande (Microsoft, India), IJCAI 2025
"SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in India", Salam Michael Singh (Department Of Electrical Engineering, Indian Institute Of Technology Delhi, India), Manik Inder Singh Sethi (Department Of Psychiatry, National Institute Of Mental Health And Neuro Sciences), Suresh Bada Math (Department Of Psychiatry, National Institute Of Mental Health And Neuro Sciences), Tanmoy Chakraborty (Department Of Electrical Engineering, Indian Institute Of Technology Delhi, India; Yardi School Of Artificial Intelligence, Indian Institute Of Technology Delhi, India), IJCAI 2025
"SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation", Harsh Pal (AI Garage, Mastercard, Gurugram, Haryana, India), Sarthak Malik (AI Garage, Mastercard, Gurugram, Haryana, India), Rajat Patel (AI Garage, Mastercard, Gurugram, Haryana, India), Aakarsh Malhotra (AI Garage, Mastercard, Gurugram, Haryana, India), IJCAI 2025
"SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis", Yasmeena Akhter (Indian Institute Of Technology Jodhpur, India), Rishabh Ranjan (Indian Institute Of Technology Jodhpur, India), Richa Singh (Indian Institute Of Technology Jodhpur, India), Mayank Vatsa (Indian Institute Of Technology Jodhpur, India), IJCAI 2025
"Viral Marketing and Convergence Properties in Generalised Voter Model", Abhiram Manohara (Indian Institute Of Science, Bangalore, India), Ahad N. Zehmakan (School Of Computing, The Australian National University, Canberra, Australia), IJCAI 2025
"What is Beneath Misogyny: Misogynous Memes Classification and Explanation", Kushal Kanwar (Jaypee University Of Information Technology, Solan, India), Dushyant Singh Chauhan (CortexTor Labs, India), Gopendra Vikram Singh (Amity Center For Artificial Intelligence), Asif Ekbal (Department Of Computer Science, Indian Institute Of Technology Patna, India; School Of AI And Data Science, IIT Jodhpur, India), IJCAI 2025
"Words Over Pixels? Rethinking Vision in Multimodal Large Language Models", Anubhooti Jain (IIT Jodhpur), Mayank Vatsa (IIT Jodhpur), Richa Singh (IIT Jodhpur), IJCAI 2025
"AutoOpt: A Dataset and a Unified Frameworkfor Automating Optimization Problem Solving", Ankur Sinha (Brij Disa Centre For Data Science And AIIndian Institute Of Management AhmedabadAhmedabad, Gujarat 380015), Shobhit Arora (Brij Disa Centre For Data Science And AIIndian Institute Of Management AhmedabadAhmedabad, Gujarat 380015), Dhaval Pujara (Brij Disa Centre For Data Science And AIIndian Institute Of Management AhmedabadAhmedabad, Gujarat 380015), NeurIPS 2025
"Bandit Guided Submodular Curriculum for Adaptive Subset Selection", Prateek Chanda (Department Of Computer Science And Engineering, Indian Institute Of Technology Bombay), Prayas Agrawal (Department Of Computer Science And Engineering, Indian Institute Of Technology Bombay), Saral Sureka (Department Of Computer Science And Engineering, Indian Institute Of Technology Bombay), Lokesh Reddy Polu (Department Of Computer Science And Engineering, Indian Institute Of Technology Bombay), Atharv Kshirsagar (Department Of Computer Science And Engineering, Indian Institute Of Technology Bombay), Ganesh Ramakrishnan (Department Of Computer Science And Engineering, Indian Institute Of Technology Bombay), NeurIPS 2025
"Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits", Areeb Ahmad (Indian Institute Of Technology Kanpur (IIT Kanpur)), Abhinav Joshi (Indian Institute Of Technology Kanpur (IIT Kanpur)), Ashutosh Modi (Unknown), NeurIPS 2025
"Beyond ˜O(√T) Constraint Violation for Online Convex Optimization with Adversarial Constraints", Abhishek Sinha (School Of Technology And Computer ScienceTata Institute Of Fundamental ResearchMumbai 400005, India), Rahul Vaze (School Of Technology And Computer ScienceTata Institute Of Fundamental ResearchMumbai 400005, India), NeurIPS 2025
"Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability", Divya Jyoti Bajpai (Department Of Industrial Engineering And Operations Research, Indian Institute Of Technology Bombay, Powai, Maharashtra, India), Manjesh Kumar Hanawal (Department Of Industrial Engineering And Operations Research, Indian Institute Of Technology Bombay, Powai, Maharashtra, India), NeurIPS 2025
"BLOCKDECODER: Boosting ASR Decoders with Context and Merger Modules", Darshan Prabhu (Department Of CSE, IIT Bombay), Preethi Jyothi (Department Of CSE, IIT Bombay), NeurIPS 2025
"Contextual Tokenization for Graph Inverted Indices", Pritish Chakraborty (IIT Bombay), Indradyumna Roy (IIT Bombay), Soumen Chakrabarti (IIT Bombay), Abir De (IIT Bombay), NeurIPS 2025
"Cyclic Counterfactuals under Shift–Scale Interventions", Saptarshi Saha (Computer Vision And Pattern Recognition Unit, Indian Statistical Institute, Kolkata, West Bengal - 700108, India), Dhruv Vansraj Rathore (Indian Statistical Institute, Kolkata, West Bengal - 700108, India), Utpal Garain (Computer Vision And Pattern Recognition Unit, Indian Statistical Institute, Kolkata, West Bengal - 700108, India), NeurIPS 2025
"DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research", Shanawaj S Madarkar (Indian Institute Of Technology Hyderabad), NeurIPS 2025
"Distribution Learning Meets Graph Structure Sampling", Arnab Bhattacharyya (University Of Warwick), Sutanu Gayen (IIT Kanpur), Philips George John (CNRS@CREATE & Dept Of Computer Science, National University Of Singapore), Sayantan Sen (Centre For Quantum Technologies, National University Of Singapore), N. V. Vinodchandran (University Of Nebraska-Lincoln), NeurIPS 2025
"Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning", Ankan Deria (Mohamed Bin Zayed University Of AI, Abu Dhabi, UAE), Adinath Madhavrao Dukre (Mohamed Bin Zayed University Of AI, Abu Dhabi, UAE), Feilong Tang (Mohamed Bin Zayed University Of AI, Abu Dhabi, UAE), Sara Atito (University Of Surrey, UK), Sudipta Roy (Jio Institute, India), Muhammad Awais (University Of Surrey, UK), Muhammad Haris Khan (Mohamed Bin Zayed University Of AI, Abu Dhabi, UAE), Imran Razzak (Mohamed Bin Zayed University Of AI, Abu Dhabi, UAE; UNSW, Australia), NeurIPS 2025
"Fast Training of Large Kernel Models with Delayed Projections", Amirhesam Abedsoltan (UC San Diego), Siyuan Ma (Google), Parthe Pandit (IIT Bombay), Mikhail Belkin (UC San Diego), NeurIPS 2025
"Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning", Yang Xu (Purdue University, West Lafayette, IN 47907, USA), Washim Uddin Mondal (Indian Institute Of Technology Kanpur, Kanpur, UP, India 208016), Vaneet Aggarwal (Purdue University, West Lafayette, IN 47907, USA), NeurIPS 2025
"For Better or for Worse, Transformers Seek Patterns for Memorization", Madhur Panwar (EPFL), Gail Weiss (EPFL), Navin Goyal (Microsoft Research India), Antoine Bosselut (EPFL), NeurIPS 2025
"Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains", Shizheng Wen (Seminar For Applied Mathematics, ETH Zurich, Switzerland), Arsh Kumbhat (Seminar For Applied Mathematics, ETH Zurich, Switzerland), Levi Lingsch (Seminar For Applied Mathematics, ETH Zurich, Switzerland; ETH AI Center, Zurich, Switzerland), Sepehr Mousavi (Seminar For Applied Mathematics, ETH Zurich, Switzerland; Department Of Mechanical And Process Engineering, ETH Zurich, Switzerland), Yizhou Zhao (School Of Computer Science, CMU, USA), Praveen Chandrashekar (Centre For Applicable Mathematics, TIFR, India), Siddhartha Mishra (Seminar For Applied Mathematics, ETH Zurich, Switzerland; ETH AI Center, Zurich, Switzerland), NeurIPS 2025
"Geometry of Decision Making in Language Models", Abhinav Joshi (Indian Institute Of Technology Kanpur (IIT Kanpur)), Divyanshu Bhatt (Samsung Research & Development Institute, Bangalore; Indian Institute Of Technology Hyderabad (IIT Hyderabad)), Ashutosh Modi (Indian Institute Of Technology Kanpur (IIT Kanpur)), NeurIPS 2025
"Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm", Yang Xu (Purdue University, USA), Swetha Ganesh (Purdue University, USA; Indian Institute Of Science, Bengaluru, India), Washim Uddin Mondal (Indian Institute Of Technology Kanpur), Qinbo Bai (Purdue University, USA), Vaneet Aggarwal (Purdue University, USA), NeurIPS 2025
"GNNXEMPLAR: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability", Burouj Armgaan (Dept. Of CSE, IIT Delhi), Eshan Jain (Dept. Of CSE, IIT Delhi), Harsh Pandey (Fujitsu Research Of India, Bangalore), Mahesh Chandran (Fujitsu Research Of India, Bangalore), Sayan Ranu (Dept. Of CSE And Yardi ScAI, IIT Delhi), NeurIPS 2025
"HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery", Vaibhav Rathore (Indian Institute Of Technology Bombay), Divyam Gupta (Indian Institute Of Technology Bombay), Biplab Banerjee (Indian Institute Of Technology Bombay), NeurIPS 2025
"Hyperbolic Fine-Tuning for Large Language Models", Menglin Yang (HKUST(GZ); HKUST), Ram Samarth B B3 (Indian Institute Of Science), Aosong Feng (Yale University), Bo Xiong (Stanford University), Jiahong Liu (The Chinese University Of Hong Kong), Irwin King (The Chinese University Of Hong Kong), Rex Ying (Yale University), NeurIPS 2025
"Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features", Thummaluru Siddartha Reddy (Fujitsu Research Of India, Bangalore.), Vempalli Naga Sai Saketh (Fujitsu Research Of India, Bangalore.), Mahesh Chandran (Fujitsu Research Of India, Bangalore.), NeurIPS 2025
"InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy", Vishnu Vinod (CeRAI, IIT Madras), Krishna Pillutla (CeRAI, IIT Madras; WSAI, IIT Madras), Abhradeep Thakurta (Google DeepMind), NeurIPS 2025
"Learning-Augmented Algorithms for k-median via Online Learning", Anish Hebbar (Duke University), Rong Ge (Duke University), Amit Kumar (IIT Delhi), Debmalya Panigrahi (Duke University), NeurIPS 2025
"LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation", Subhojyoti Khastagir (Indian Institute Of Technology, Kharagpur, India), Kishalay Das (Indian Institute Of Technology, Kharagpur, India), Pawan Goyal (Indian Institute Of Technology, Kharagpur, India), Seung-Cheol Lee (Indo Korea Science And Technology Center, Bangalore, India), Satadeep Bhattacharjee (Indo Korea Science And Technology Center, Bangalore, India), Niloy Ganguly (Indian Institute Of Technology, Kharagpur, India), NeurIPS 2025
"Matchings Under Biased and Correlated Evaluations", Amit Kumar (IIT Delhi), Nisheeth K. Vishnoi (Yale University), NeurIPS 2025
"Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks", Susmit Agrawal (IIT Hyderabad; University Of Tübingen; Tübingen AI Center), Krishn Vishwas Kher (IIT Hyderabad), Saksham Mittal (IIT Hyderabad), Swarnim Maheshwari (IIT Hyderabad), Vineeth N. Balasubramanian (IIT Hyderabad; Microsoft Research, India), NeurIPS 2025
"Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol", Pai Liu (UIUC), Lingfeng Zhao (Columbia University), Shivangi Agarwal (IIIT Delhi), Jinghan Liu (USTC), Audrey Huang (UIUC), Philip Amortila (UIUC), Nan Jiang* (UIUC), NeurIPS 2025
"ModHiFi: Identifying High Fidelity predictive components for Model Modification", Dhruva Kashyap (CSA, IISc), Chaitanya Murti (HP Inc. AI Lab), Pranav Nayak (CSA, IISc), Tanay Narshana (Google), Chiranjib Bhattacharyya (CSA, IISc), NeurIPS 2025
"Monotone and Separable Set Functions: Characterizations and Neural Models", Soutrik Sarangi (IIT Bombay), Yonatan Sverdlov (Technion), Nadav Dym (Technion), Abir De (IIT Bombay), NeurIPS 2025
"On Optimal Steering to Achieve Exact Fairness", Mohit Sharma (Department Of Computer Science, IIIT Delhi, India), Amit Jayant Deshpande (Microsoft Research India), Chiranjib Bhattacharyya (Department Of Computer Science And Automation, Indian Institute Of Science, Bengaluru, India), Rajiv Ratn Shah (Department Of Computer Science, IIIT Delhi, India), NeurIPS 2025
"On the Sample Complexity Bounds of Bilevel Reinforcement Learning", Mudit Gaur (Purdue University), Utsav Singh (IIT Kanpur), Amrit Singh Bedi (University Of Central Florida), Raghu Pasupathy (Purdue University), Vaneet Aggarwal (Purdue University), NeurIPS 2025
"Parameter-free Algorithms for the Stochastically Extended Adversarial Model", Peng Zhao (National Key Laboratory For Novel Software Technology, Nanjing University; School Of Artificial Intelligence, Nanjing University), Vincent Y. F. Tan (Institute Of Operations Research And Analytics, National University Of Singapore; Department Of Mathematics, National University Of Singapore; Department Of Electrical And Computer Engineering, National University Of Singapore), Shuche Wang (Institute Of Operations Research And Analytics, National University Of Singapore), Adarsh Barik (Department Of Computer Science And Engineering, Indian Institute Of Technology Delhi), NeurIPS 2025
"Price of Parsimony: Complexity of Fourier Sparsity Testing", Arijit Ghosh (Indian Statistical Institute, Kolkata, India), Manmatha Roy (Indian Statistical Institute, Kolkata, India), NeurIPS 2025
"Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation", Zuhair Hasan Shaik (MBZUAI, UAE), Abdullah Mazhar (IIIT Delhi, India), Aseem Srivastava (MBZUAI, UAE), Md. Shad Akhtar (IIIT Delhi, India), NeurIPS 2025
"Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems", Utkarsh U. Chavan (Department Of Mechanical Engineering, Indian Institute Of Technology Bombay, Mumbai India 400076), Prashant Trivedi (Computer Science And Information Systems, BITS Pilani, Pilani Campus, Rajasthan 333031), Nandyala Hemachandra (Industrial Engineering And Operations Research, Indian Institute Of Technology Bombay, Mumbai India 400076), NeurIPS 2025
"RESPIN-S1.0: A read speech corpus of 10000+ hours in dialects of nine Indian Languages", Saurabh Kumar (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Abhayjeet Singh (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Deekshitha G (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Amartyaveer (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Jesuraj Bandekar (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Savitha Murthy (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Sumit Sharma (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Sandhya Badiger (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Sathvik Udupa (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Amala Nagireddi (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), Srinivasa Raghavan K M (Navana Tech, Mumbai, India), Rohan Saxena (Navana Tech, Mumbai, India), Jai Nanavati (Navana Tech, Mumbai, India), Raoul Nanavati (Navana Tech, Mumbai, India), Janani Sridharan (Navana Tech, Mumbai, India), Arjun Mehta (Navana Tech, Mumbai, India), Ashish Khuraishi K S (Navana Tech, Mumbai, India), Sai Praneeth Reddy Mora (Navana Tech, Mumbai, India), Prashanthi Venkataramakrishnan (Navana Tech, Mumbai, India), Gauri Date (Navana Tech, Mumbai, India), Karthika P (Navana Tech, Mumbai, India), Prasanta Kumar Ghosh (Department Of Electrical Engineering, Indian Institute Of Science, Bangalore, India), NeurIPS 2025
"SENTINELKILNDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery", Rishabh Mondal (IIT Gandhinagar, India), Jeet Parab (IIIT Surat, India), Heer Kubadia (IIT Gandhinagar, India), Shataxi Dubey (IIT Gandhinagar, India), Shardul Junagade (IIT Gandhinagar, India), Zeel B Patel (IIT Gandhinagar, India), Nipun Batra (IIT Gandhinagar, India), NeurIPS 2025
"Sequential Attention-based Sampling for Histopathological Analysis", Tarun G (Indian Institute Of Science, Bangalore, India), Naman Malpani (Indian Institute Of Science, Bangalore, India), Gugan Thoppe (Indian Institute Of Science, Bangalore, India), Devarajan Sridharan (Indian Institute Of Science, Bangalore, India), NeurIPS 2025
"Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization", Rahul Vaze (School Of Technology And Computer Science, Tata Institute Of Fundamental Research, Mumbai), Abhishek Sinha (School Of Technology And Computer Science, Tata Institute Of Fundamental Research, Mumbai), NeurIPS 2025
"Strategic Costs of Perceived Bias in Fair Selection", L. Elisa Celis (Yale University), Lingxiao Huang (Nanjing University), Milind Sohoni (IIT Bombay), Nisheeth K. Vishnoi (Yale University), NeurIPS 2025
"The Parameterized Complexity of Computing the VC-Dimension", Florent Foucaud (Université Clermont Auvergne, CNRS, Mines Saint-Étienne, Clermont Auvergne INP, LIMOS Clermont-Ferrand, France), Harmender Gahlawat (Université Clermont Auvergne, CNRS, Mines Saint-Étienne, Clermont Auvergne INP, LIMOS Clermont-Ferrand, France), Fionn Mc Inerney (Telefónica Scientific Research Barcelona, Spain), Prafullkumar Tale (Indian Institute Of Science Education And Research Pune, Pune, India), NeurIPS 2025
"Value-Guided KV Compression for LLMs via Approximated CUR Decomposition", Ayan Sengupta (Department Of Electrical Engineering, Indian Institute Of Technology Delhi, India), Siddhant Chaudhary (Department Of Electrical Engineering, Indian Institute Of Technology Delhi, India), Tanmoy Chakraborty (Department Of Electrical Engineering, Indian Institute Of Technology Delhi, India), NeurIPS 2025
"IndicCONAN: A multilingual dataset for combating Hate Speech in Indian Context", Nihar Ranjan Sahoo (IIT Bombay), Gyana Prakash Beria (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), AAAI 2024
"Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class", Swetha M (Indian Institute Of Technology, Bombay), Annie D`souza (Indian Institute Of Technology, Bombay), Sunita Sarawagi (Indian Institute Of Technology, Bombay), AAAI 2024
"Well, now we know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning", Gopendra Sinmgh (IIT Patna), Mauajama Firdaus (University Of Alberta), Dushyant Singh Chauhan (IIT Patna), Asif Ekbal (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), AAAI 2024
"IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning", Abhinav Joshi (IIT Kanpur), Shounak Paul (IIT Kharagpur), Akshat Sharma (IIT Kanpur), Pawan Goyal (IIT Kharagpur), Saptarshi Ghosh (IIT Kharagpur), Ashutosh Modi (IIT Kanpur), ACL 2024
"Balancing Act: Distribution-Guided Debiasing in Diffusion Models", Rishubh Parihar, Abhijnya B., Abhipsa Basu, Sashwat, Jogendra And R. Venkatesh Babu (Vision And AI Lab, IISc), CVPR 2024
"Convolutional Prompting meets Language Models for Continual Learning", Anurag Roy (IIT Kharagpur), Riddhiman Moulick (IIT Kharagpur), Vinay K. Verma (IML Amazon India), Saptarshi Ghosh (IIT Kharagpur), Abir Das (IIT Kharagpur), CVPR 2024
"DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets", Harsh Rangwani, Pradipto M,, Mayank M., Ashish A., And R. Venkatesh Babu (Vision And AI Lab, IISc), CVPR 2024
"Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification", Sravanti A., Ashish A., Lakshay And R. Venkatesh Babu (Vision And AI Lab, IISc), CVPR 2024
"Unknown Prompt, the only Lacuna: Unveiling CLIP`s Potential for Open Domain Generalization", Mainak Singha (AISIN Japan), Ankit Jha (IIT Bombay), Shirsha Bose (TUM Munich), Ashwin Nair (IISER Thiruvananthapuram), Moloud Abdar (Deakin University, Australia), Biplab Banerjee (IIT Bombay), CVPR 2024
"PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control", Rishubh Parihar, Sachidanand, Sabariswaran, Tejan And R. Venkatesh Babu, (Vision And AI Lab, IISc), ECCV 2024
"Text2Place: Affordance-aware Text Guided Human Placement", Rishubh Parihar, Harsh Gupta, Sachidanand And R. Venkatesh Babu (Vision And AI Lab, IISc), ECCV 2024
"Commentator: A Code-mixed Multilingual Text Annotation Framework", Rajvee Sheth (Indian Institute Of Technology Gandhinagar), Shubh Nisar (North Carolina State University), Heenaben Prajapati (Indian Institute Of Technology Gandhinagar), Himanshu Beniwal (Indian Institute Of Technology Gandhinagar), Mayank Singh (Indian Institute Of Technology Gandhinagar), EMNLP 2024
"CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free-Word-Ordered and Morphologically-Rich Low-Resource Languages", Pretam Ray (Indian Institute Of Technology Kharagpur), Jivnesh Sandhan (Indian Institute Of Technology Dharwad), Amrith Krishna (Independent Researcher), Pawan Goyal (Indian Institute Of Technology Kharagpur), EMNLP 2024
"Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models", Himanshu Beniwal (Indian Institute Of Technology Gandhinagar), Dishant Patel (Indian Institute Of Technology Gandhinagar), Kowsik Nandagopan D (Indian Institute Of Technology Gandhinagar), Hritik Ladia (Indian Institute Of Technology Gandhinagar), Ankit Yadav (Indian Institute Of Technology Gandhinagar), Mayank Singh (Indian Institute Of Technology Gandhinagar), EMNLP 2024
"User Inference Attacks on Large Language Models", Nikhil Kandpal (University Of Toronto), Krishna Pillutla (IIT Madras), Alina Oprea (Northeastern University), Peter Kairouz (Google), Christopher A. Choquette-Choo (Google), Zheng Xu (Google), EMNLP 2024
"Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant", Abhirama Subramanyam Penamakuri (Indian Institute Of Technology Jodhpur), Anand Mishra (Indian Institute Of Technology Jodhpur), EMNLP 2024
"Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant", Abhirama Subramanyam Penamakuri (Indian Institute Of Technology Jodhpur), Anand Mishra (Indian Institute Of Technology Jodhpur), EMNLP 2024
"YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models", Abhilash Nandy (Indian Institute Of Technology Kharagpur), Yash Agarwal (Indian Institute Of Technology Kharagpur), Ashish Patwa (Indian Institute Of Technology Kharagpur), Millon Madhur Das (Indian Institute Of Technology Kharagpur), Aman Bansal (University Of Massachusetts), Ankit Raj (Haldia Institute Of Technology), Pawan Goyal (Indian Institute Of Technology Kharagpur), Niloy Ganguly (Indian Institute Of Technology Kharagpur), EMNLP 2024
"Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy", Krishnamurthy Dvijotham (ServiceNow Research), H. Brendan McMahan (Google Research), Krishna Pillutla (IIT Madras), Thomas Steinke (Google DeepMind), Abhradeep Thakurta (Google DeepMind), FOCS 2024
"Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment", Garvit Chugh (Department Of Computer Science And Engineering, Indian Institute Of Technology, Jodhpur, India), Indrajeet Ghosh (Department Of Information Systems, University Of Maryland, Baltimore County, United States), Abu Zaher Md Faridee (Amazon, United States), Nirmalya Roy (Department Of Information Systems, University Of Maryland, Baltimore County, United States), ICDM 2024
"Distributionally Robust Optimization with Bias and Variance Reduction", Ronak Mehta (University Of Washington), Vincent Roulet (Google), Krishna Pillutla (IIT Madras), Zaid Harchaoui (University Of Washington), ICLR 2024
"Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Metrics", Shrinivas, Harsh, Sho Takemori, Kunal, Yuhei Umeda And, R. Venkatesh Babu (Vision And AI Lab, IISc), ICLR 2024
"How far can Fairness Constraints help recover from Biased Data?", Mohit Sharma (IIIT Delhi), Amit Jayant Deshpande (Microsoft Research India), ICML 2024
"MiMiC: Minimally Modified Counterfactuals in the Representation Space.", Shashwat Singh (IIIT Hyderabad), Shauli Ravfogel (Bar-Ilan University), Jonathan Herzig (Google Research), Roee Aharoni (Google Research), Ryan Cotterell (ETH Zurich), Ponnurangam Kumaraguru (IIIT Hyderabad), ICML 2024
"The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning", Nathaniel Li (University Of California, Berkeley), Alexander Pan (University Of California, Berkeley), Anjali Gopal (Massachusetts Institute Of Technology), Summer Yue (Scale AI), Shashwat Goel (IIIT Hyderabad), Ponnurangam Kumaraguru (IIIT Hyderabad), Dan Hendrycks (Center For AI Safety), ICML 2024
"Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All", Atasi Panda (Indian Institute Of Science), Anand Louis (Indian Institute Of Science), Prajakta Nimbhorkar (Chennai Mathematical Institute), IJCAI 2024
"EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning", Pragya Singh (IIIT-Delhi), Ritvik Budhiraja (IIIT-Delhi), Ankush Gupta (IIIT-Delhi), Anshul Goswami (IIIT-Delhi), Mohan Kumar (RIT-USA), Pushpendra Singh (IIIT-Delhi), NeurIPS 2024
"Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks", Abhipsa Basu, Saswat And R. Venkatesh Babu (Vision And AI Lab, IISc), NeurIPS 2024
"Random Representations Outperform Online Continually Learned Representations", Ameya Prabhu (University Of Oxford), Shiven Sinha (IIIT Hyderabad), Ponnurangam Kumaraguru (IIIT Hyderabad), Philip H.S. Torr (University Of Oxford), Ozan Sener (Apple), Puneet K. Dokania (University Of Oxford), NeurIPS 2024
"Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods", Shounak Paul (IIT Kharagpur), Rajas Bhatt (IIT Kharagpur), Pawan Goyal (IIT Kharagpur), Saptarshi Ghosh (IIT Kharagpur), SIGIR 2024
"Adaptive mixing of auxiliary losses in supervised learning", Durga Sivasubramanian (IIT Bombay), Ayush Maheshwari (IIT Bombay), Prathosh AP (IISc), Pradeep Shenoy (Google Research India), Ganesh Ramakrishnan (IIT Bombay), AAAI 2023
"Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher", Vikram S Chundawat (Mavvex Labs, India), Ayush K Tarun (Mavvex Labs, India), Murari Mandal (Kalinga Institute Of Industrial Technology, Bhubaneswar, India), Mohan Kankanhalli (National University Of Singapore, Singapore), AAAI 2023
"City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC", Shreevignesh Suriyanarayanan (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Girish Varma (IIIT Hyderabad), AAAI 2023
"Clustering What Matters: Optimal Approximation for Clustering with Outliers", Akanksha Agrawal (Indian Institute Of Technology Madras), Tanmay Inamdar (University Of Bergen), Saket Saurabh (Institute Of Mathematical Sciences), Jie Xue (NYU Shanghai), AAAI 2023
"Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation", Sankarshan Damle (Machine Learning Lab, International Institute Of Information Technology, Hyderabad), Manisha Padala (Machine Learning Lab, International Institute Of Information Technology, Hyderabad), Sujit Gujar (Machine Learning Laboratory, International Institute Of Information Technology, Hyderabad), AAAI 2023
"Corruption-tolerant Algorithms for Generalized Linear Models", Bhaskar Mukhoty (IIT Kanpur), Debojyoti Dey (IIT Kanpur), Purushottam Kar (IIT Kanpur), AAAI 2023
"CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials.", Kishalay Das (Indian Institute Of Technology, Kharagpur), Bidisha Samanta (Indian Institute Of Technology, Kharagpur), Pawan Goyal (Indian Institute Of Technology, Kharagpur), Seung-Cheol Lee (Indo Korea Science And Technology Center, Bangalore), Satadeep Bhattacharjee (Indo Korea Science And Technology Center, Bangalore), Niloy Ganguly (Indian Institute Of Technology, Kharagpur; L3S, Leibniz University Of Hannover, Germany), AAAI 2023
"Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting", Tony Gracious (Indian Institute Of Science Bangalore), Ambedkar Dukkipati (Indian Institute Of Science Bangalore), AAAI 2023
"Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues", Shivani Kumar (Indraprastha Institute Of Information Technology Delhi, India), Ishani Mondal (University Of Maryland, College Park), Md Shad Akhtar (Indraprastha Institute Of Information Technology Delhi, India), Tanmoy Chakraborty (Indian Institute Of Technology Delhi, India), AAAI 2023
"Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims", Kshitij Mishra (Indian Institute Of Technology Patna), Priyanshu Priya (Indian Institute Of Technology Patna), Asif Ekbal (Indian Institute Of Technology Patna), AAAI 2023
"IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages", Tahir Javed (IIT Madras, AI4Bharat), Kaushal Bhogale (IIT Madras, AI4Bharat), Abhigyan Raman (AI4Bharat), Pratyush Kumar (Microsoft, AI4Bharat), Anoop Kunchukuttan (Microsoft, AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat), AAAI 2023
"Interactive concept bottleneck models", Kushal Chauhan (Google Research India), Rishabh Tiwari (Google Research India), Jan Freyberg (Google Research), Pradeep Shenoy (Google Research India), DJ Dvijotham (Google Research), AAAI 2023
"Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions", Anson Bastos (Indian Institute Of Technology Hyderabad), Abhishek Nadgeri (RWTH Aachen), Kuldeep Singh (Cerence GmbH), Toyotaro Suzumura (IBM T.J. Watson Research Center), Manish Singh (Indian Institute Of Technology, Hyderabad), AAAI 2023
"Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network", Deepali Verma (Department Of Computer Science And Engineering, IIT (BHU), Varanasi), Arya Haldar (Department Of Computer Science And Engineering, IIT (BHU), Varanasi), Tanima Dutta (Department Of Computer Science And Engineering, IIT (BHU), Varanasi), AAAI 2023
"Persuasion Strategies in Advertisements", Yaman Kumar (Adobe Media And Data Science Research (MDSR)\nIIIT-Delhi\nUniversity At Buffalo), Rajat Jha (IIIT-Delhi), Arunim Gupta (IIIT-Delhi), Milan Aggarwal (Adobe Media And Data Science Research), Aditya Garg (IIIT-Delhi), Tushar Malyan (IIIT-Delhi), Ayush Bhardwaj (IIIT-Delhi), Rajiv Ratn Shah (IIIT-Delhi), Balaji Krishnamurthy (Adobe Media And Data Science Research), Changyou Chen (University At Buffalo), AAAI 2023
"PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks", Anandsingh Chauhan (Tata Consultancy Services Research), Mayank Baranwal (Tata Consultancy Services Research), Ansuma Basumatary (SalesKen), AAAI 2023
"Task and Model Agnostic Adversarial Attack on Graph Neural Networks", Kartik Sharma (Georgia Institute Of Technology, Atlanta), Samidha Verma (IIT Delhi), Sourav Medya (University Of Illinois, Chicago), Arnab Bhattacharya (IIT Kanpur), Sayan Ranu (IIT Delhi), AAAI 2023
"Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning", Gopendra Vikram Singh (IIT Patna), Mauajama Firdaus (University Of Alberta, Canada), Dushyant Singh Chauhan (IIT Patna), Asif Ekbal (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), AAAI 2023
"What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes", Shivam Sharma (Indraprastha Institute Of Information Technology - Delhi\nWipro AI Labs (Lab45)), Siddhant Agarwal (Indraprastha Institute Of Information Technology, Delhi), Tharun Suresh (Indraprastha Institute Of Information Technology - Delhi), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence), Md. Shad Akhtar (Indraprastha Institute Of Information Technology - Delhi), Tanmoy Chakraborty (Indian Institute Of Technology Delhi), AAAI 2023
"A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC", Sanjay Chandlekar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Arthik Boroju (Indian Institute Of Technology Ropar, Ropar, India), Shweta Jain (Indian Institute Of Technology Ropar, Ropar, India), Sujit Gujar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), AAMAS 2023
"Agent-based Simulation of District-based Elections with Heterogeneous Populations", Adway Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, India), AAMAS 2023
"Capturing Hiders with Moving Obstacles", Ayushman Panda (IIIT-Hyderabad, Hyderabad, India), Kamalakar Karlapalem (IIIT-Hyderabad, Hyderabad, India), AAMAS 2023
"Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City", Varun Madhavan (Indian Institute Of Technology Kharagpur, Kharagpur, India), Adway Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, India), Partha Pratim Chakrabarti (Indian Institute Of Technology Kharagpur, Kharagpur, India), AAMAS 2023
"Differentiable Agent-based Epidemiology", Ayush Chopra (Massachusetts Institute Of Technology, Cambridge, MA, USA), Alexander Rodríguez (Georgia Institute Of Technology, Atlanta, GA, USA), Jayakumar Subramanian (Adobe Media And Data Science Research, Noida, India), Arnau Quera-Bofarull (University Of Oxford, Oxford, United Kingdom), Balaji Krishnamurthy (Adobe Media And Data Science Research, Noida, India), B Aditya Prakash (Georgia Institute Of Technology, Atlanta, GA, USA), Ramesh Raskar (MIT Media Lab), AAMAS 2023
"Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning", Chaitanya Kharyal (Microsoft, Hyderabad, India), Tanmay Sinha (Microsoft Research, Bangalore, India), Sai Krishna Gottipati (AI Redefined, Montreal, PQ, Canada), Fatemeh Abdollahi (University Of Alberta, Edmonton, AB, Canada), Srijita Das (University Of Alberta, Edmonton, AB, Canada), Matthew Edmund Taylor (University Of Alberta, Edmonton, AB, Canada), AAMAS 2023
"Fair Chore Division under Binary Supermodular Costs", Siddharth Barman (Indian Institute Of Science, Bengaluru, India), Vishnu V Narayan (Tel Aviv University, Tel Aviv-Yafo, Israel), Paritosh Verma (Purdue University, West Lafayette, IN, USA), AAMAS 2023
"Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences", Hadi Hosseini (Pennsylvania State University, University Park, PA, USA), Sujoy Sikdar (Binghamton University, Binghamton, NY, USA), Rohit Vaish (Indian Institute Of Technology Delhi, New Delhi, India), Lirong Xia (Rensselaer Polytechnic Institute, Troy, NY, USA), AAMAS 2023
"Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem", Napendra Solanki (Indian Institute Of Technology Ropar, Rupnagar, India), Shweta Jain (Indian Institute Of Technology Ropar, Rupnagar, India), Suman Banerjee (Indian Institute Of Technology Jammu, Jammu, India), Yayathi Pavan Kumar S (Indian Institute Of Technology Ropar, Rupnagar, India), AAMAS 2023
"Feature-based Individual Fairness in k-clustering", Debajyoti Kar (IIT Kharagpur, Kharagpur, India), Mert Kosan (UC Santa Barbara, Santa Barbara, CA, USA), Debmalya Mandal (MPI-SWS, Saarbrücken, Germany), Sourav Medya (University Of Illinois Chicago, Chicago, IL, USA), Arlei Silva (Rice University, Houston, TX, USA), Palash Dey (IIT Kharagpur, Kharagpur, India), Swagato Sanyal (IIT Kharagpur, Kharagpur, India), AAMAS 2023
"Follow your nose: Using General Value Functions for Directed Exploration in Reinforcement Learning", Durgesh Kalwar (Tata Consultancy Services Ltd), Omkar Shelke (Tata Consultancy Services Ltd), Somjit Nath (Tata Consultancy Services Ltd), Hardik Meisheri (Tata Consultancy Services Ltd), Harshad Khadilkar (Tata Consultancy Services Ltd), AAMAS 2023
"From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents", Abhinav Joshi (IIT Kanpur, Kanpur, India), Areeb Ahmad (IIT Kanpur, Kanpur, India), Umang Pandey (IIT Kanpur, Kanpur, India), Ashutosh Modi (IIT Kanpur, Kanpur, India), AAMAS 2023
"Graphical House Allocation", Hadi Hosseini (Penn State University, University Park, PA, USA), Justin Payan (University Of Massachusetts Amherst, Amherst, MA, USA), Rik Sengupta (University Of Massachusetts Amherst, Amherst, MA, USA), Rohit Vaish (IIT Delhi, New Delhi, India), Vignesh Viswanathan (University Of Massachusetts Amherst, Amherst, MA, USA), AAMAS 2023
"Group Fair Clustering Revisited -- Notions and Efficient Algorithm", Shivam Gupta (Indian Institute Of Technology Ropar, Rupnagar, India), Ganesh Ghalme (Indian Institute Of Technology Hyderabad, Hyderabad, India), Narayanan C Krishnan (Indian Institute Of Technology Palakkad, Palakkad, India), Shweta Jain (Indian Institute Of Technology Ropar, Rupnagar, India), AAMAS 2023
"Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits", Abheek Ghosh (University Of Oxford, Oxford, United Kingdom), Dheeraj Nagaraj (Google Research, Bengaluru, India), Manish Jain (Google Research, Bengaluru, India), Milind Shashikant Tambe (GoogleGoogle Research, Bengaluru, India), AAMAS 2023
"Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences", Gogulapati Sreedurga (Indian Institute Of Science, Bengaluru, India), Soumyarup Sadhukhan (Indian Institute Of Technology, Kanpur, India), Souvik Roy (Indian Statistical Institute, Kolkata, India), Yadati Narahari (Indian Institute Of Science, Bengaluru, India), AAMAS 2023
"Indivisible Participatory Budgeting with Multiple Degrees of Sophistication of Projects", Gogulapati Sreedurga (Indian Institute Of Science, Bengaluru, India), AAMAS 2023
"Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers", Rohit Chowdhury (Indian Institute Of Science, Bangalore, Bangalore, India), Raswanth Murugan (Indian Institute Of Technology, Palakkad, Palakkad, India), Deepak N Subramani (Indian Institute Of Science, Bangalore, Bangalore, India), AAMAS 2023
"Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication", Edward Vickery (SHL, London, United Kingdom), Aditya A Paranjape (Tata Consultancy Services Ltd., Pune, India), AAMAS 2023
"Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence", Jayati Deshmukh (International Institute Of Information Technology, Bangalore, Bangalore, India), Nikitha Adivi (International Institute Of Information Technology, Bangalore, Bangalore, India), Srinath Srinivasa (International Institute Of Information Technology, Bangalore, Bangalore, India), AAMAS 2023
"Modeling Robustness in Decision-Focused Learning as a Stackelberg Game", Sonja Johnson-Yu (Harvard University, Cambridge, MA, USA), Kai Wang (Harvard University & Google Research, Cambridge, MA, USA), Jessie Finocchiaro (Harvard University, Cambridge, MA, USA), Aparna Taneja (Google Research, Gurgaon, India), Milind Shashikant Tambe (Harvard University & Google Research, Cambridge, MA, USA), AAMAS 2023
"Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning", Pranav Khanna (Indian Institute Of Technology, Indore, India), Guy Tennenholtz (Technion, Haifa, Israel), Nadav Merlis (Technion, Haifa, Israel), Shie Mannor (Technion & NVIDIA, Haifa, Israel), Chen Tessler (NVIDIA, Haifa, Israel), AAMAS 2023
"On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy", Sagalpreet Singh (Indian Institute Of Technology Ropar, Rupnagar, India), Shweta Jain (Indian Institute Of Technology Ropar, Rupnagar, India), Shashi Shekhar Jha (Indian Institute Of Technology Ropar, Rupnagar, India), AAMAS 2023
"On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork", Matheus Ap Alves (Lancaster University, Lancaster, United Kingdom), Elnaz Shafipour Yourdshahi (University Of Surrey, Surrey, United Kingdom), Amokh Varma (Indian Institute Of Technology, Delhi, India), Leandro Soriano Marcolino (Lancaster University, Lancaster, United Kingdom), Jó Ueyama (University Of São Paulo, São Carlos, Brazil), Plamen Parvanov Angelov (Lancaster University, Lancaster, United Kingdom), AAMAS 2023
"Repeatedly Matching Items to Agents Fairly and Efficiently", I. Caragiannis (Aarhus University, Aarhus, Denmark), Shivika Narang (Indian Institute Of Science, Bengaluru, India), AAMAS 2023
"Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning", Shresth Verma (Google Research India, Bangalore, India), Aditya S Mate (Harvard University, Cambridge, MA, USA), Kai Wang (Harvard University, Cambridge, MA, USA), Neha Madhiwalla (ARMMAN, Mumbai, India), Aparna Hegde (ARMMAN, Mumbai, India), Aparna Taneja (Google Research India, Gurugram, India), Milind Shashikant Tambe (Google Research India, Bangalore, India), AAMAS 2023
"Sampling-Based Winner Prediction in District-Based Elections", Debajyoti Kar (Indian Institute Of Science, Bangalore, Bangalore, India), Palash Dey (Indian Institute Of Technology, Kharagpur, Kharagpur, India), Swagato Sanyal (Indian Institute Of Technology, Kharagpur, Kharagpur, India), AAMAS 2023
"Semi-Popular Matchings and Copeland Winners", Telikepalli Kavitha (Tata Institute Of Fundamental Research, Mumbai, India), Rohit Vaish (Indian Institute Of Technology Delhi, New Delhi, India), AAMAS 2023
"The Complexity of Minimizing Envy in House Allocation", Jayakrishnan Madathil (University Of Glasgow, Glasgow, United Kingdom), Neeldhara Misra (IIT Gandhinagar, Gandhinagar, India), Aditi Sethia (IIT Gandhinagar, Gandhinagar, India), AAMAS 2023
"The Rule-Tool-User Nexus in Digital Collective Decisions", Zoi Terzopoulou (Gate, University Of Lyon - Saint-Etienne, Paris, France), Marijn A Keijzer (Institute For Advanced Study In Toulouse, Toulouse, France), Gogulapati Sreedurga (Indian Institute Of Science, Bangalore, India), Jobst Heitzig (Potsdam Institute For Climate Impact Research, Potsdam, Germany), AAMAS 2023
"A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection", Naveen Badathala (Indian Institute Of Technology Bombay), Abisek Rajakumar Kalarani (Indian Institute Of Technology Bombay), Tejpalsingh Siledar (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), ACL 2023
"A Multi-task Learning Framework for Quality Estimation", Sourabh Deoghare (Indian Institute Of Technology Bombay), Paramveer Choudhary (Indian Institute Of Technology Bombay), Diptesh Kanojia (University Of Surrey), Tharindu Ranasinghe (Aston University), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Constantin Orsan (University Of Surrey), ACL 2023
"Adversarial Training for Low-Resource Disfluency Correction", Vineet Bhat (Indian Institute Of Technology Bombay), Preethi Jyothi (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), ACL 2023
"Automated Digitization of Unstructured Medical Prescriptions", Megha Sharma (Amazon), Tushar Vatsal (Amazon), Srujana Merugu (Amazon), Aruna Rajan (Google), ACL 2023
"“Knowledge is Power”: Constructing Knowledge Graph of Abdominal Organs and Using Them for Automatic Radiology Report Generation", Kaveri Kale (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Aditya Shetty (Breach Candy Hospital), Milind Gune (Augnito India Pvt. Ltd.), Kush Shrivastava (Augnito India Pvt. Ltd.), Rustom Lawyer (Augnito India Pvt. Ltd.), Spriha Biswas (Augnito India Pvt. Ltd.), ACL 2023
"CoMix: Guide transformers to code-mix using POS structure and phonetics", Gaurav Arora (Amazon), Srujana Merugu (Amazon), Vivek Sembium (Amazon), ACL 2023
"Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers", Parikshit Bansal (Microsoft Research India), Amit Sharma (Microsoft Research India), ACL 2023
"Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions", Mayur Patidar (TCS Research), Prayushi Faldu (IIT Delhi), Avinash Singh (TCS Research), Lovekesh Vig (TCS Research), Indrajit Bhattacharya (TCS Research), Mausam (IIT Delhi), ACL 2023
"How does the brain process syntax structure while listening?", Subba Reddy Oota (Inria Bordeaux, France), Mounika Marreddy (IIIT-Hyderabad), Manish Gupta (Microsoft, India), Raju S. Bapi (IIIT-Hyderabad), ACL 2023
"Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages", Sumanth Doddapaneni (IIT Madras, AI4Bharat), Rahul Aralikatte (MILA - Quebec AI Institue, McGill University), Gowtham Ramesh (AI4Bharat), Shreya Goyal (AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat), Anoop Kunchukuttan (Microsoft, AI4Bharat, IIT Madras), Pratyush Kumar (Microsoft, AI4Bharat, IIT Madras), ACL 2023
"ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos", Krishanu Maity (IIT Patna), A.S. Poornash (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), Sriparna Saha (IIT Patna), ACL 2023
"With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages", Nihar Ranjan Sahoo (IIT Bombay), Niteesh Kumar Reddy Mallela (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), ACL 2023
"``A Little is Enough``: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation", Akshay Batheja (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), ACL 2023
"``Let’s not Quote out of Context``: Unified Vision-Language Pretraining for Context Assisted Image Captioning", Abisek Rajakumar Kalarani (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Niyati Chhaya (Adobe Research, India), Sumit Shekhar (Adobe Research, India), ACL 2023
"AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection", Raghav Jain (Indian Institute Of Technology Patna, Patna, India), Apoorva Singh (Indian Institute Of Technology Patna, Patna, India), Vivek Gangwar (Indian Institute Of Technology Patna, Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, Patna, India), ACM Multimedia 2023
"BEAMER: Behavioral Encoder to Generate Multiple Appropriate Facial Reactions", Ximi Hoque (Indian Institute Of Technology Ropar, Ropar, India), Adamay Mann (Thapar Institute Of Engineering And Technology, Patiala, India), Gulshan Sharma (Indian Institute Of Technology Ropar, Ropar, India), Abhinav Dhall (Indian Institute Of Technology Ropar & Monash University, Ropar, India), ACM Multimedia 2023
"MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings", Surbhi Madan (Indian Institute Of Technology Ropar, Ropar, India), Rishabh Jain (Indian Institute Of Technology Ropar, Ropar, India), Gulshan Sharma (Indian Institute Of Technology Ropar, Ropar, India), Ramanathan Subramanian (University Of Canberra, Canberra, Australia), Abhinav Dhall (Indian Institute Of Technology Ropar & Monash University, Ropar, India), ACM Multimedia 2023
"Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation", Sidharth Anand (BITS Pilani, Hyderabad, India), Naresh Kumar Devulapally (State University Of New York At Buffalo, Buffalo, NY, USA), Sreyasee Das Bhattacharjee (State University Of New York At Buffalo, Buffalo, NY, USA), Junsong Yuan (State University Of New York At Buffalo, Buffalo, NY, USA), ACM Multimedia 2023
"Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge", Siddhant R Viksit (Indraprastha Institute Of Technology Delhi, Delhi, India), Vinayak Abrol (Indraprastha Institute Of Technology Delhi, Delhi, India), ACM Multimedia 2023
"Towards Accurate Lip-to-Speech Synthesis in-the-Wild", Sindhu B Hegde (University Of Oxford, Oxford, United Kingdom), Rudrabha Mukhopadhyay (IIIT Hyderabad, Hyderabad, India), C V Jawahar (IIIT Hyderabad, Hyderabad, India), Vinay P Namboodiri (University Of Bath, Bath, United Kingdom), ACM Multimedia 2023
"Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection", Mohit Tomar* (Indian Institute Of Technology, Patna), Abhisek Tiwari* (Indian Institute Of Technology, Patna), Tulika Saha (University Of Liverpool, UK), Sriparna Saha (Indian Institute Of Technology, Patna), ACM Multimedia 2023
"A Large-Scale Robustness Analysis of Video Action Recognition Models", Madeline Chantry Schiappa (CRCV, University Of Central Florida,), Naman Biyani (IIT Kanpur,), Prudvi Kamtam (CRCV, University Of Central Florida,), Shruti Vyas (CRCV, University Of Central Florida,), Hamid Palangi (Microsoft Research,), Vibhav Vineet (Microsoft Research,), Yogesh Rawat (CRCV, University Of Central Florida,), CVPR 2023
"A Probabilistic Framework for Lifelong Test-Time Adaptation", Dhanajit Brahma (Indian Institute Of Technology Kanpur,), Piyush Rai (Indian Institute Of Technology Kanpur,), CVPR 2023
"Adaptive Annealing for Robust Geometric Estimation", Chitturi Sidhartha (Indian Institute Of Science, Bengaluru, India,), Lalit Manam (Indian Institute Of Science, Bengaluru, India,), Venu Madhav Govindu (Indian Institute Of Science, Bengaluru, India,), CVPR 2023
"CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes", Harshil Bhatia (Indian Institute Of Technology, Jodhpur, MPI For Informatics, SIC,), Edith Tretschk (MPI For Informatics, SIC,), Zorah Lähner (Universität Siegen,), Marcel Seelbach Benkner (Universität Siegen,), Michael Moeller (Universität Siegen,), Christian Theobalt (MPI For Informatics, SIC,), Vladislav Golyanik (MPI For Informatics, SIC,), CVPR 2023
"DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks", Samyak Jain (Vision And AI Lab, Indian Institute Of Science, Bangalore, Indian Institute Of Technology, Varanasi,), Sravanti Addepalli (Vision And AI Lab, Indian Institute Of Science, Bangalore,), Pawan Kumar Sahu (Vision And AI Lab, Indian Institute Of Science, Bangalore, Indian Institute Of Technology, Dhanbad,), Priyam Dey (Vision And AI Lab, Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Vision And AI Lab, Indian Institute Of Science, Bangalore,), CVPR 2023
"DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting", Aayush Kumar Tyagi (IIT Delhi,), Chirag Mohapatra (IIT Delhi,), Prasenjit Das (AIIMS, New Delhi,), Govind Makharia (AIIMS, New Delhi,), Lalita Mehra (AIIMS, New Delhi,), Prathosh AP (IISc, Bangalore,), Mausam (IIT Delhi,), CVPR 2023
"Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement", Nancy Mehta (CVPR Lab, Indian Institute Of Technology Ropar,), Akshay Dudhane (Mohamed Bin Zayed University Of AI,), Subrahmanyam Murala (CVPR Lab, Indian Institute Of Technology Ropar,), Syed Waqas Zamir (Inception Institute Of AI,), Salman Khan (Mohamed Bin Zayed University Of AI, Australian National University,), Fahad Shahbaz Khan (Mohamed Bin Zayed University Of AI, Linköping University,), CVPR 2023
"How You Feelin’? Learning Emotions and Mental States in Movie Scenes", Dhruv Srivastava (CVIT, IIIT, Hyderabad, India,), Aditya Kumar Singh (CVIT, IIIT, Hyderabad, India,), Makarand Tapaswi (CVIT, IIIT, Hyderabad, India,), CVPR 2023
"Interactive Segmentation of Radiance Fields", Rahul Goel (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), Dhawal Sirikonda (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), Saurabh Saini (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), P J Narayanan (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), CVPR 2023
"Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation", Gaurav Patel (Purdue University,), Konda Reddy Mopuri (Indian Institute Of Technology Hyderabad,), Qiang Qiu (Purdue University,), CVPR 2023
"MARLIN: Masked Autoencoder for facial video Representation LearnINg", Zhixi Cai (Monash University,), Shreya Ghosh (Monash University, Curtin University,), Kalin Stefanov (Monash University,), Abhinav Dhall (Monash University, Indian Institute Of Technology Ropar,), Jianfei Cai (Monash University,), Hamid Rezatofighi (Monash University,), Reza Haffari (Monash University,), Munawar Hayat (Monash University,), CVPR 2023
"Multi Domain Learning for Motion Magnification", Jasdeep Singh (CVPR Lab, Indian Institute Of Technology Ropar, India,), Subrahmanyam Murala (CVPR Lab, Indian Institute Of Technology Ropar, India,), G. Sankara Raju Kosuru (CVPR Lab, Indian Institute Of Technology Ropar, India,), CVPR 2023
"Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models", Nilesh Ahuja (Intel Labs,), Parual Datta (Intel Labs,), Bhavya Kanzariya (Intel Labs, IIT Hyderabad,), V. Srinivasa Somayazulu (Intel Labs,), Omesh Tickoo (Intel Labs,), CVPR 2023
"NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs", Harsh Rangwani (Vision And AI Lab, IISc Bangalore,), Lavish Bansal (Vision And AI Lab, IISc Bangalore, IIT BHU Varanasi,), Kartik Sharma (Vision And AI Lab, IISc Bangalore, BITS Pilani,), Tejan Karmali (Google Research,), Varun Jampani (Google Research,), R. Venkatesh Babu (Vision And AI Lab, IISc Bangalore,), CVPR 2023
"OneFormer: One Transformer to Rule Universal Image Segmentation", Jitesh Jain (SHI Labs @ U Of Oregon & UIUC, IIT Roorkee,), Jiachen Li (SHI Labs @ U Of Oregon & UIUC,), MangTik Chiu (SHI Labs @ U Of Oregon & UIUC,), Ali Hassani (SHI Labs @ U Of Oregon & UIUC,), Nikita Orlov (Picsart AI Research (PAIR),), Humphrey Shi (SHI Labs @ U Of Oregon & UIUC, Picsart AI Research (PAIR),), CVPR 2023
"PyPose: A Library for Robot Learning with Physics-based Optimization", Chen Wang (Carnegie Mellon University, Pittsburgh, PA, USA, State University Of New York, Buffalo, NY, USA,), Dasong Gao (Carnegie Mellon University, Pittsburgh, PA, USA, Massachusetts Institute Of Technology, Cambridge, MA, USA,), Kuan Xu (Nanyang Technological University, Singapore,), Junyi Geng (Carnegie Mellon University, Pittsburgh, PA, USA,), Yaoyu Hu (Carnegie Mellon University, Pittsburgh, PA, USA,), Yuheng Qiu (Carnegie Mellon University, Pittsburgh, PA, USA,), Bowen Li (Carnegie Mellon University, Pittsburgh, PA, USA,), Fan Yang (ETH Zürich, Zürich, Switzerland,), Brady Moon (Carnegie Mellon University, Pittsburgh, PA, USA,), Abhinav Pandey (Pennsylvania State University, University Park, PA, USA,), Aryan (Carnegie Mellon University, Pittsburgh, PA, USA, Delhi Technological University, Delhi, India,), Jiahe Xu (Carnegie Mellon University, Pittsburgh, PA, USA,), Tianhao Wu (University Of Virginia, Charlottesville, VA, USA,), Haonan He (Carnegie Mellon University, Pittsburgh, PA, USA,), Daning Huang (Pennsylvania State University, University Park, PA, USA,), Zhongqiang Ren (Carnegie Mellon University, Pittsburgh, PA, USA,), Shibo Zhao (Carnegie Mellon University, Pittsburgh, PA, USA,), Taimeng Fu (The Chinese University Of Hong Kong, Shenzhen, China,), Pranay Reddy (University Of Massachusetts, Amherst, MA, USA,), Xiao Lin (Georgia Institute Of Technology, Atlanta, GA, USA,), CVPR 2023
"RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases", Abhipsa Basu (Vision And AI Lab, Indian Institute Of Science, Bangalore,), Sravanti Addepalli (Vision And AI Lab, Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Vision And AI Lab, Indian Institute Of Science, Bangalore,), CVPR 2023
"Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training", Siddarth Asokan (Robert Bosch Center For Cyber-Physical Systems, Indian Institute Of Science, Bengaluru, India,), Chandra Sekhar Seelamantula (Department Of Electrical Engineering, Indian Institute Of Science, Bengaluru, India,), CVPR 2023
"Test of Time: Instilling Video-Language Models with a Sense of Time", Piyush Bagad (University Of Amsterdam,), Makarand Tapaswi (IIIT Hyderabad,), Cees G.M. Snoek (University Of Amsterdam,), CVPR 2023
"Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer", Shubh Maheshwari (TCS Research, India,), Rahul Narain (Indian Institute Of Technology Delhi, India,), Ramya Hebbalaguppe (TCS Research, India, Indian Institute Of Technology Delhi, India,), CVPR 2023
"Why is the Winner the Best?", M. Eisenmann (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany,), A. Reinke (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty Of Mathematics And Computer Science, Heidelberg University, Heidelberg, Germany,), V. Weru (Division Of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany,), M. D. Tizabi (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany,), F. Isensee (Division Of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany,), T. J. Adler (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany,), S. Ali (Faculty Of Engineering And Physical Sciences, School Of Computing, University Of Leeds, Leeds, UK,), V. Andrearczyk (Institute Of Informatics, School Of Management, HES-SO Valais-Wallis University Of Applied Sciences And Arts Western Switzerland, Sierre, Switzerland, Department Of Nuclear Medicine And Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland,), M. Aubreville (Technische Hochschule Ingolstadt, Ingolstadt, Germany,), U. Baid (Center For Artificial Intelligence And Data Science For Integrated Diagnostics (AI2D) And Center For Biomedical Image Computing And Analytics (CBICA), University Of Pennsylvania, Philadelphia, PA, USA, Department Of Pathology And Laboratory Medicine, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA, Department Of Radiology, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA,), S. Bakas (Center For Artificial Intelligence And Data Science For Integrated Diagnostics (AI2D) And Center For Biomedical Image Computing And Analytics (CBICA), University Of Pennsylvania, Philadelphia, PA, USA, Department Of Pathology And Laboratory Medicine, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA, Department Of Radiology, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA,), N. Balu (Department Of Radiology, University Of Washington, Seattle, WA, USA,), S. Bano (Department Of Computer Science, Wellcome/EPSRC Centre For Interventional And Surgical Sciences (WEISS), University College London, London, UK,), J. Bernal (Universitat Autònoma De Barcelona & Computer Vision Center, Barcelona, Spain,), S. Bodenstedt (Division Of Translational Surgical Oncology, National Center For Tumor Diseases (NCT/UCC) Dresden, Dresden, Germany,), A. Casella (Department Of Advanced Robotics, Istituto Italiano Di Tecnologia, Italy, Department Of Electronics, Information And Bioengineering, Politecnico Di Milano, Milan, Italy,), V. Cheplygina (IT University Of Copenhagen, Copenhagen, Denmark,), M. Daum (Department Of General, Visceral And Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany,), M. De Bruijne (Department Of Radiology And Nuclear Medicine, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands, Department Of Computer Science, University Of Copenhagen, Copenhagen, Denmark,), A. Depeursinge (Institute Of Information Systems, University Of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland, Department Of Nuclear Medicine And Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland,), CVPR 2023
"ANGEL: Enterprise Search System for the Non-Profit Industry", Saiful Haq (IIT Bombay), Ashutosh Sharma (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages", Vineet Bhat (IIT Bombay), Preethi Jyothi (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts", Kshitij Mishra (IIT Patna), Priyanshu Priya (IIT Patna), Manisha Burja (IIT Patna), Asif Ekbal (IIT Patna), EMNLP 2023
"Elevating Code-mixed Text Handling through Auditory Information of Words", Mamta (IIT Patna), Zishan Ahmad (IIT Patna), Asif Ekbal (IIT Patna), EMNLP 2023
"Eyes Show the Way: Harnessing Gaze Features for Hallucination Detection", Kishan Maharaj (IIT Bombay), Ashita Saxena (IIT Bombay), Abhijit Mishra (University Of Texas At Austin), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection", Krishanu Maity (IIT Patna), Raghav Jain (IIT Patna), Prince Jha (IIT Patna), Sriparna Saha (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments", Debtanu Datta (IIT Kharagpur), Shubham Soni (IIT Kharagpur), Rajdeep Mukherjee (IIT Kharagpur), Saptarshi Ghosh (IIT Kharagpur), EMNLP 2023
"Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection", Divyank Pratap Tiwari (IIT Bombay), Diptesh Kanojia (University Of Surrey, United Kingdom), Anupama Ray (IBM Research India), Apporva Nunna (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"Quality Estimation-Assisted Automatic Post-Editing", Sourabh Deoghare (IIT Bombay), Diptesh Kanojia (University Of Surrey, United Kingdom), Tharindu Ranasinghe (Aston Univeristy, United Kingdom), Frédéric Blain (Tilburg University, The Netherlands), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning", Sapan Shah (IIT Bombay, TCS Research Pune), Shreedhar Reddy (TCS Research Pune), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries", Ashish Mittal (IBM Research; IIT Bombay), Sunita Sarawagi (IIT Bombay), Preethi Jyothi (IIT Bombay), George Saon (IBM Research), Gakuto Kurata (IBM Research), EMNLP 2023
"Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach", Vimal K B (Indian Institute Of Technology, Hyderabad), Saketh Bachu (Indian Institute Of Technology, Hyderabad), Tanmay Garg (Indian Institute Of Technology, Hyderabad), Niveditha Lakshmi Narasimhan (KLA Corporation), Raghavan Konuru (KLA Corporation), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), ICCV 2023
"Data-Free Class-Incremental Hand Gesture Recognition", Shubhra Aich (Carnegie Mellon University, USA), Jesus Ruiz-Santaquiteria (UCLM, Spain), Prachi Garg (Carnegie Mellon University, USA), Zhenyu Lu (Carnegie Mellon University, USA), Joseph K J (Adobe Research), Alvaro Fernandez Garcia (Carnegie Mellon University, USA), Kenrick Kin (Meta Reality Labs), Chengde Wan (Meta Reality Labs), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), Necati Cihan Camgoz (University Of Surrey), Shugao Ma (Meta Reality Labs), Fernando De La Torre (Carnegie Mellon University, USA), ICCV 2023
"Domain Adaptive Few-Shot Open-Set Learning", Debabrata Pal (Indian Institute Of Technology, Bombay,), Deeptej More (Manipal Institute Of Technology, India,), Sai Bhargav (Indian Institute Of Technology, Bombay,), Dipesh Tamboli (Purdue University,), Vaneet Aggarwal (Purdue University,), Biplab Banerjee (Indian Institute Of Technology, Bombay,), ICCV 2023
"Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation", Sunandini Sanyal (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Ashish Ramayee Asokan (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Suvaansh Bhambri (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Akshay Kulkarni (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Jogendra Nath Kundu (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), R Venkatesh Babu (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), ICCV 2023
"Exemplar-Free Continual Transformer with Convolutions", Anurag Roy (IIT Kharagpur,), Vinay K. Verma (IML Amazon, India,), Sravan Voonna (IIT Kharagpur,), Kripabandhu Ghosh (IISER Kolkata,), Saptarshi Ghosh (IIT Kharagpur,), Abir Das (IIT Kharagpur,), ICCV 2023
"FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function", Saurabh Yadav (Indraprastha Institute Of Information Technology Delhi (IIIT-Delhi), New Delhi, India,), Koteswar Rao Jerripothula (Indraprastha Institute Of Information Technology Delhi (IIIT-Delhi), New Delhi, India,), ICCV 2023
"Inspecting the Geographical Representativeness of Images from Text-to-Image Models", Abhipsa Basu (Vision And AI Lab, IISc Bangalore,), R. Venkatesh Babu (Vision And AI Lab, IISc Bangalore,), Danish Pruthi (FLAIR Lab, IISc Bangalore,), ICCV 2023
"Strata-NeRF : Neural Radiance Fields for Stratified Scenes", Ankit Dhiman (Vision And AI Lab, IISc Bangalore, Samsung R & D Institute India - Bangalore,), R Srinath (Vision And AI Lab, IISc Bangalore,), Harsh Rangwani (Vision And AI Lab, IISc Bangalore,), Rishubh Parihar (Vision And AI Lab, IISc Bangalore,), Lokesh R Boregowda (Samsung R & D Institute India - Bangalore,), Srinath Sridhar (Brown University,), R Venkatesh Babu (Vision And AI Lab, IISc Bangalore,), ICCV 2023
"Test Time Adaptation for Blind Image Quality Assessment", Subhadeep Roy (Indian Institute Of Science, Bengaluru, India,), Shankhanil Mitra (Indian Institute Of Science, Bengaluru, India,), Soma Biswas (Indian Institute Of Science, Bengaluru, India,), Rajiv Soundararajan (Indian Institute Of Science, Bengaluru, India,), ICCV 2023
"TrackFlow: Multi-Object Tracking with Normalizing Flows", Gianluca Mancusi (University Of Modena And Reggio Emilia, Italy,), Aniello Panariello (University Of Modena And Reggio Emilia, Italy,), Angelo Porrello (University Of Modena And Reggio Emilia, Italy,), Matteo Fabbri (GoatAI S.r.l.,), Simone Calderara (University Of Modena And Reggio Emilia, Italy,), Rita Cucchiara (University Of Modena And Reggio Emilia, Italy, IIT-CNR, Italy,), ICCV 2023
"ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration", Bala Gurumurthy (Databases And Software Engineering, University Of Magdeburg, Germany,), David Broneske (German Center For Higher Education Research And Science Studies, Hannover, Germany,), Gabriel Campero Durand (Databases And Software Engineering, University Of Magdeburg, Germany,), Thilo Pionteck (Hardware-Oriented Technical Computer Science, University Of Magdeburg, Germany,), Gunter Saake (Databases And Software Engineering, University Of Magdeburg, Germany,), ICDE 2023
"MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract)", Laizhong Cui (College Of Computer Science And Software Engineering, Shenzhen University, Shenzhen, P.R. China,), Sudipta Acharya (School Of Computing, Queen’s University, Ontario, Canada,), Sumit Mishra (Department Of CSE, Indian Institute Of Information Technology, Guwahati, Assam, India,), Yi Pan (Shenzhen Institute Of Advanced Technology, Chinese Academy Of Sciences, P.R. China,), Joshua Zhexue Huang (College Of Computer Science And Software Engineering, Shenzhen University, Shenzhen, P.R. China,), ICDE 2023
"Synthetic Data Generation for Enterprise DBMS", Anupam Sanghi (IBM Research, Bengaluru, India,), Jayant R. Haritsa (Indian Institute Of Science, Bengaluru, India,), ICDE 2023
"Towards Optimizing Storage Costs on the Cloud", Koyel Mukherjee (Adobe Research), Raunak Shah (Adobe Research), Shiv K. Saini (Adobe Research), Karanpreet Singh (IIT Roorkee), Khushi (IIT Roorkee), Harsh Kesarwani (IIT Roorkee), Kavya Barnwal (IIT Roorkee), Ayush Chauhan (UT Austin), ICDE 2023
"Entropy Aware Training for Fast and Accurate Distributed GNN", Dhruv Deshmukh (Department Of CSE, IIT Bhilai, India,), Gagan Raj Gupta (Department Of CSE, IIT Bhilai, India,), Manisha Chawla (Department Of CSE, IIT Bhilai, India,), Vishwesh Jatala (Department Of CSE, IIT Bhilai, India,), Anirban Haldar (Department Of CSE, IIT Bhilai, India,), ICDM 2023
"AnyDA: Anytime Domain Adaptation", Omprakash Chakraborty (IIT Kharagpur), Aadarsh Sahoo (MIT-IBM Watson AI Lab), Rameswar Panda (MIT-IBM Watson AI Lab), Abir Das (IIT Kharagpur), ICLR 2023
"Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems", Suresh Bishnoi (Indian Institute Of Technology Delhi), Ravinder Bhattoo (Indian Institute Of Technology Delhi), Jayadeva (Indian Institute Of Technology Delhi), Sayan Ranu (Indian Institute Of Technology Delhi), N.M. Anoop Krishnan (Indian Institute Of Technology Delhi), ICLR 2023
"Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks", Sravanti Addepalli (Indian Institute Of Science), Anshul Nasery (Google Research India), R. Venkatesh Babu (Indian Institute Of Science), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), ICLR 2023
"Modeling the data-generating process is necessary for out-of-distribution generalization", Jivat Neet Kaur (Microsoft Research India), Emre Kiciman (Microsoft Research US), Amit Sharma (Microsoft Research India), ICLR 2023
"Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models", Parth Sangani (IIT Bombay), Arjun Kashettiwar (IIT Bombay), Pritish Chakraborty (IIT Bombay), Bhuvan Reddy (IIT Bombay), Durga Sivasubramanian (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), Rishabh Iyer (UT Dallas), Abir De (IIT Bombay), ICML 2023
"GRAFENNE: Continual learning on Graphs with Heterogeneous and Dynamic Feature Sets", Shubham Gupta (IIT Delhi), Sahil Manchanda (IIT Delhi), Sayan Ranu (IIT Delhi), Srikanta Bedathur (IIT Delhi), ICML 2023
"Overcoming simplicity bias in deep networks using a feature sieve", Rishabh Tiwari (Google Research India), Pradeep Shenoy (Google Research India), ICML 2023
"StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes", Vaibhav Bihani (IIT Delhi), Sahil Manchanda (IIT Delhi), Srikanth Sastry (Jawaharlal Nehru Centre For Advanced Scientific Research), Sayan Ranu (IIT Delhi), N.M. Anoop Krishnan (IIT Delhi), ICML 2023
"Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs", Prashant Pandey (Indian Institute Of Technology Delhi), Mustafa Chasmai (Indian Institute Of Technology Delhi), Tanuj Sur (Chennai Mathematical Institute, India), Brejesh Lall (Indian Institute Of Technology Delhi), IEEE TMI 2023
"Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering", Abhirama Subramanyam Penamakuri (IIT Jodhpur), Manish Gupta (Microsoft), Mithun Das Gupta (Microsoft), Anand Mishra (IIT Jodhpur), IJCAI 2023
"Long-term Monitoring of Bird Flocks in the Wild", Kshitiz (IIT Jodhpur), Sonu Shreshtha (IIT Jodhpur), Ramy Mounir (University Of South Florida, Tampa, Florida, USA), Mayank Vatsa (IIT Jodhpur), Richa Singh (IIT Jodhpur), Saket Anand (IIIT Delhi), Sudeep Sarkar (University Of South Florida, Tampa, Florida, USA), Sevaram Mali Parihar (Crane Conservationist, Khichan, India), IJCAI 2023
"PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims", Priyanshu Priya (IIT Patna), Kshitij Mishra (IIT Patna), Palak Totala (IIT Patna), Asif Ekbal (IIT Patna), IJCAI 2023
"Promoting Gender Equality through Gender-biased Language Analysis in Social Media", Gopendra Singh (IIT Patna), Soumitra Ghosh (IIT Patna), Asif Ekbal (IIT Patna), IJCAI 2023
"Sampling Ex-Post Group-Fair Rankings", Sruthi Gorantla (IISc), Amit Deshpande (Microsoft Research India), Anand Louis (IISc), IJCAI 2023
"Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++", Barath Mohan Umapathi (Indian Institute Of Science), Kushal Chauhan (Google Research India), Pradeep Shenoy (Google Research India), Devarajan Sridharan (Indian Institute Of Science), IJCAI 2023
"Uncovering the Deceptions: An analysis on Audio Spoofing Detection and Future Prospects", Rishabh Ranjan (IIT Jodhpur), Richa Singh (IIT Jodhpur), Mayank Vatsa (IIT Jodhpur), IJCAI 2023
"DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction", Vineet Bhat (IIT Bombay), Preethi Jyothi (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), Interspeech 2023
"Narrator or Character: Voice Modulation in an Expressive Multi-speaker TTS", Pavan Kalyan (Indian Institute Of Technology Bombay), Preeti Rao (Indian Institute Of Technology Bombay), Preethi Jyothi (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Interspeech 2023
"Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity?", Subba Reddy Oota (Inria Bordeaux, France), Veeral Agarwal (IIIT-Hyderabad), Mounika Marreddy (IIIT-Hyderabad), Manish Gupta (Microsoft, India), Bapi S. Raju (IIIT-Hyderabad), Interspeech 2023
"Svarah: Evaluating English ASR Systems on Indian Accents", Tahir Javed (IIT Madras, AI4Bharat), Sakshi Joshi (AI4Bharat), Vignesh Nagarajan (AI4Bharat), Sai Sundaresan (AI4Bharat), Janki Nawale (AI4Bharat), Abhigyan Raman (AI4Bharat), Kaushal Bhogale (IIT Madras, AI4Bharat), Pratyush Kumar (IIT Madras, Microsoft, AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat), Interspeech 2023
"Technology Pipeline for Large Scale Cross-Lingual Dubbing of Educational Videos into Multiple Indian Languages", Anusha P, Arun Kumar, Ashish Seth, Bhagyashree M, Ishika Gupta, Jom Kuriakose, K V Vikram, Mano R Kumar M, Metilda S M, Mohana N, Navina K, Nihal G, Nithya Ravi, Pruthwik Mishra, Sudhanshu S, Vasista L, Vandan Mujahida, Vineet K, Vrundha S, Dipti Mishra, Hema A Murthy, Pushpak Bhattacharya, Srinivasan Umesh, Rajeev Sanga (IIT Bombay), Interspeech 2023
"Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR", Kaushal Bhogale (Indian Institute Of Technology, Madras), Sai Sundaresan (AI4Bharat), Abhigyan Raman (AI4Bharat), Tahir Javed (Indian Institute Of Technology Madras), Mitesh M. Khapra (Indian Institute Of Technology Madras), Pratyush Kumar (Indian Institute Of Technology Madras), Interspeech 2023
"MAUVE Scores for Generative Models: Theory and Practice", Krishna Pillutla (IIT Madras), Lang Liu (Citadel Securities), John Thickstun (Stanford University), Sean Welleck (CMU), Swabha Swayamdipta (USC), Rowan Zellers (OpenAI), Sewoong Oh (University Of Washington), Yejin Choi (University Of Washington), Zaid Harchaoui (University Of Washington), JMLR 2023
"Approximate inference of marginals using the IBIA framework", Shivani Bathla (IIT Madras), Vinita Vasudevan (IIT Madras), NeurIPS 2023
"Margin-based Adversarial Learning for Domain Generalization", Aveen Dayal (Indian Institute Of Technology, Hyderabad), Vimal K B (Indian Institute Of Technology, Hyderabad), Linga Reddy Cenkeramaddi (University Of Agder, Norway), C Krishna Mohan (Indian Institute Of Technology, Hyderabad), Abhinav Kumar (Indian Institute Of Technology, Hyderabad), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), NeurIPS 2023
"Mitigating the Effect of Incidental Correlations on Part-based Learning", Gaurav Bhatt (University Of British Columbia), Deepayan Das (Indian Institute Of Technology Hyderabad), Leonid Sigal (University Of British Columbia), Vineeth N Balasubramanian (Indian Institute Of Technology Hyderabad), NeurIPS 2023
"A Case for Graphics-driven Query Processing", Harish Doraiswamy (Microsoft Research India), Vikas Kalagi (Microsoft Research India), Karthik Ramachandra (Microsoft Azure Data India), Jayant R. Haritsa (Indian Institute Of Science, Bangalore), PVLDB 2023
"Evaluating Cross-modal Generative Models Using Retrieval Task", Shivangi Bithel (IIT Delhi, New Delhi, India), Srikanta Bedathur (IIT Delhi, New Delhi, India), SIGIR 2023
"Explain Like I am BM25: Interpreting a Dense Model`s Ranked-List with a Sparse Approximation", Michael Llordes (University Of Glasgow, Glasgow, United Kingdom), Debasis Ganguly (University Of Glasgow, Glasgow, United Kingdom), Sumit Bhatia (Adobe Inc., Noida, India), Chirag Agarwal (Adobe Inc., Noida, India), SIGIR 2023
"Exploring 360-Degree View of Customers for Lookalike Modeling", Md Mostafizur Rahman (Rakuten Institute Of Technology, Tokyo, Japan), Daisuke Kikuta (Rakuten Institute Of Technology, Tokyo, Japan), Satyen Abrol (Rakuten Institute Of Technology, Bengaluru, India), Yu Hirate (Rakuten Institute Of Technology, Tokyo, Japan), Toyotaro Suzumura (The University Of Tokyo), Pablo S Loyola (Rakuten Institute Of Technology, Japan), Takuma Ebisu (Rakuten Institute Of Technology, Japan), Manoj Kondapaka (Rakuten Institute Of Technology, Japan), SIGIR 2023
"Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection", Hsiu Wei Yang (Thomson Reuters Labs, Toronto, ON, Canada), Abhinav Agrawal (Thomson Reuters Labs, Bangalore, India), SIGIR 2023
"Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content", Garima Chhikara (Indian Institute Of Technology, Delhi Technological University, New Delhi, India), Kripabandhu Ghosh (Indian Institute Of Science Education And Research Kolkata, Mohanpur, India), Saptarshi Ghosh (Indian Institute Of Technology Kharagpur, Kharagpur, India), Abhijnan Chakraborty (Indian Institute Of Technology Delhi, New Delhi, India), SIGIR 2023
"Learning Through Interpolative Augmentation of Dynamic Curvature Spaces", Parth Chhabra (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Atula Tejaswi Neerkaje (Manipal Institute Of Technology, Manipal, India), Shivam Agarwal (University Of Illinois At Urbana-Champaign, Urbana, IL, USA), Ramit Sawhney (Mohamed Bin Zayed University Of Artificial Intelligence, Abu Dhabi, UAE), Megh Thakkar (Birla Institute Of Technology And Science, Pilani), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence), Sudheer Chava (Scheller College Of Business), SIGIR 2023
"News Popularity Beyond the Click-Through-Rate for Personalized Recommendations", Ashutosh Nayak (Samsung R&D Institute, Bangalore, India), Mayur Garg (Samsung R&D Institute, Bangalore, India), Rajasekhara Reddy Duvvuru Muni (Samsung R&D Institute, Bangalore, India), SIGIR 2023
"Personalized Retrieval over Millions of Items", Hemanth Vemuri (Microsoft), Sheshansh Agrawal (Microsoft), Shivam Mittal (Microsoft Research), Deepak Saini (Microsoft), Akshay Soni (Microsoft), Abhinav V. Sambasivan (Microsoft), Wenhao Lu (Microsoft), Yajun Wang (LinkedIn Corporation), Mehul Parsana (Google), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research), SIGIR 2023
"Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems", Hitesh Sagtani (Sharechat, Bengaluru, India), Madan Gopal Jhawar (Sharechat, Bengaluru, India), Akshat Gupta (Sharechat, Bengaluru, India), Rishabh Mehrotra (Sharechat, Bengaluru, India), SIGIR 2023
"CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest", Abhinav Anand (Flipkart Internet Pvt. Ltd., Bengaluru, India), Surender Kumar (Flipkart Internet Pvt. Ltd., Bengaluru, India), Nandeesh Kumar (Indian Institute Of Science, Bengaluru, India), Samir Shah (Flipkart Internet Pvt. Ltd., Bengaluru, India), SIGKDD 2023
"Deep Encoders with Auxiliary Parameters for Extreme Classification", Kunal Dahiya (IIT Delhi), Sachin Yadav (Microsoft Research India), Sushant Sondhi (IIT Delhi), Deepak Saini (Microsoft), Sonu Mehta (Microsoft Research India & IIT Delhi), Jian Jiao (Microsoft), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research India), SIGKDD 2023
"Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference", Mayuresh Kunjir (Amazon Web Services, Berlin, Germany), Sanjay Chawla (Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar), Siddarth Chandrasekar (Indian Institute Of Technology Madras, Chennai, India), Devika Jay (Indian Institute Of Technology Madras, Chennai, India), Balaraman Ravindran (Indian Institute Of Technology Madras), SIGKDD 2023
"Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment", Atharva Kulkarni (Carnegie Mellon University, Pittsburgh, PA, USA), Sarah Masud (IIIT-Delhi, New Delhi, India), Vikram Goyal (IIIT-Delhi, New Delhi, India), Tanmoy Chakraborty (IIT Delhi, New Delhi, India), SIGKDD 2023
"Sketch-Based Anomaly Detection in Streaming Graphs", Siddharth Bhatia (TurboML, Delhi, India), Mohit Wadhwa (Google, Zurich, Switzerland), Kenji Kawaguchi (National University Of Singapore, Singapore, Singapore), Neil Shah (Snap Inc., Seattle, WA, USA), Philip S Yu (University Of Illinois At Chicago, Chicago, IL, USA), Bryan Hooi (National University Of Singapore), SIGKDD 2023
"Time-to-Event Modeling with Hypernetwork based Hawkes Process", Manisha Dubey (IIT Hyderabad, Kandi, India), P K Srijith (IIT Hyderabad, Kandi, India), Maunendra Sankar Desarkar (IIT Hyderabad, Kandi, India), SIGKDD 2023
"TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting", Vijay Ekambaram (IBM Research, Bangalore, India), Arindam Jati (IBM Research, Bangalore, India), Nam Nguyen (IBM Research, Yorktown Heights, USA), Phanwadee Sinthong (IBM Research, Yorktown Heights, USA), Jayant Ramarao Kalagnanam (IBM Research), SIGKDD 2023
"Fast Natural Language Based Data Exploration with Samples", Shubham Agarwal (Adobe Research, Bangalore, India), Gromit Yeuk Yin Chan (Adobe Research, San Jose, CA, USA), Shaddy Garg (Adobe Research, Bangalore, India), Tong Yu (Adobe Research, San Jose, CA, USA), Subrata Mitra (Adobe Research, Bangalore, India), SIGMOD 2023
"Beyond Digital ``Echo Chambers``: The Role of Viewpoint Diversity in Political Discussion", Rishav Hada (Microsoft Research India, Bengaluru, India), Amir Ebrahimi Fard (Maastricht University, Maastricht, Netherlands), Sarah Shugars (Rutgers University, New Brunswick, NJ, USA), Federico Bianchi (Stanford University, Stanford, CA, USA), Patricia Rossini (University Of Glasgow, Glasgow, United Kingdom), Dirk Hovy (Bocconi University, Milan, Italy), Rebekah Tromble (George Washington University, Washington, D.C., DC, USA), Nava Tintarev (Maastricht University, Maastricht, Netherlands), WSDM 2023
"BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs", Srinivas Virinchi (Amazon), Anoop Saladi (Amazon), WSDM 2023
"Global Counterfactual Explainer for Graph Neural Networks", Zexi Huang (University Of California, Santa Barbara), Mert Kosan (University Of California, Santa Barbara), Sourav Medya (University Of Illinois, Chicago), Sayan Ranu (IIT Delhi), Ambuj Singh (University Of California, Santa Barbara), WSDM 2023
"Learning and Maximizing Influence in Social Networks Under Capacity Constraints", Pritish Chakraborty (Indian Institute Of Technology Bombay), Sayan Ranu (Indian Institute Of Technology Delhi), Ipsit Mantri (Indian Institute Of Technology Bombay), Abir De (Indian Institute Of Technology Bombay), WSDM 2023
"NGAME: Negative Mining-aware Mini-batching for Extreme Classification", Kunal Dahiya (IIT Delhi), Nilesh Gupta (UT Austin), Deepak Saini (Microsoft), Akshay Soni (Microsoft), Yajun Wang (Linkedin), Kushal Dave (Microsoft), Jian Jiao (Microsoft), Gururaj K (Microsoft), Prasenjit Dey (Microsoft), Amit Singh (Microsoft), Deepesh Hada (Microsoft Research India), Vidit Jain (Microsoft Research India), Bhawna Paliwal (Microsoft Research India), Anshul Mittal (IIT Delhi), Sonu Mehta (Microsoft Research India & IIT Delhi), Ramachandran Ramjee (Microsoft Research India), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research India), WSDM 2023
"Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms", Maksimjeet Chowdhary (IIIT Delhi, Delhi, India), Sanyam Goyal (IIIT Delhi, Delhi, India), Venktesh V (Indraprastha Institute Of Information Technology, Delhi, India), Mukesh Mohania (IIIT Delhi, Delhi, India), Vikram Goyal (IIIT Delhi, Delhi, India), WSDM 2023
"Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?", Anson Bastos (IIT, Hyderabad, India), Kuldeep Singh (Cerence GmbH And Zerotha Research, Germany), Abhishek Nadgeri (RWTH Aachen, Germany), Johannes Hoffart (SAP, Germany), Manish Singh (IIT Hyderabad, India), Toyotaro Suzumura (The University Of Tokyo, Japan), WWW 2023
"CausIL: Causal Graph for Instance Level Microservice Data", Sarthak Chakraborty (Adobe Research India), Shubham Agarwal (Adobe Research India), Shaddy Garg (Adobe India), Ayush Chauhan (The University Of Texas At Austin United States), Shiv Kumar Saini (Adobe Research India), WWW 2023
"HateProof: Are Hateful Meme Detection Systems really Robust?", Piush Aggarwal (CATALPA, FernUniversität In Hagen Hagen, Germany), Pranit Chawla (IIT Kharagpur), Mithun Das (IIT Kharagpur), Punyajoy Saha (IIT Kharagpur), Binny Mathew (IIT Kharagpur), Torsten Zesch (CATALPA, FernUniversität In Hagen Hagen, Germany), Animesh Mukherjee (IIT Kharagpur), WWW 2023
"Hidden Indicators of Collective Intelligence in Crowdfunding", Emőke-Ágnes Horvát (Northwestern University, USA), Henry Kudzanai Dambanemuya (Indian Institute Of Management Udaipur, India), Jayaram Uparna (Northwestern University, USA), WWW 2023
"Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget", Thi Huyen Nguyen (L3S Research Center, Germany), Koustav Rudra (Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), WWW 2023
"Shield: Secure Allegation Escrow System with Stronger Guarantees", Nishat Koti (Indian Institute Of Science, India), Varsha Bhat Kukkala (Indian Institute Of Science, India), Arpita Patra (Indian Institute Of Science, India), Bhavish Raj Gopal (Indian Institute Of Science, India), WWW 2023
"Towards Fair Allocation in Social Commerce Platforms", Anjali Gupta (Indian Institute Of Technology Delhi), Shreyansh J Nagori (Indian Institute Of Technology Delhi), Abhijnan Chakraborty (Indian Institute Of Technology Delhi), Rohit Vaish (Indian Institute Of Technology Delhi), Sayan Ranu (Indian Institute Of Technology Delhi), Prajit Prashant Nadkarni (Flipkart), Narendra Varma Dasararaju (Flipkart), Muthusamy Chelliah (Flipkart), WWW 2023
"Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference", Zeel B Patel (IIT Gandhinagar), Palak Purohit (IIT Gandhinagar), Harsh M Patel (IIT Gandhinagar), Shivam Sahni (IIT Gandhinagar), Nipun Batra (IIT Gandhinagar), AAAI 2022
"Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation", Jogendra Nath Kundu (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Suvaansh Bhambri (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), AAAI 2022
"‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube", Krithika Ramesh (Manipal Institute Of Technology), Ashiqur R. KhudaBukhsh (Rochester Institute Of Technology), Sumeet Kumar (Indian School Of Business), AAAI 2022
"Beyond Learning Features: Training a Fully-functional Classifier with ZERO Instance-level Labels", Deepak Babu Sam (Indian Institute Of Science), Abhinav Agarwalla (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), AAAI 2022
"Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows", Param Budhraja (IIT Kharagpur), Mayank Baranwal (TCS Research, IIT Bombay), Kunal Garg (University Of Michigan, Ann Arbor), Ashish Hota (IIT Kharagpur), AAAI 2022
"CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance", Anoop Karnik Dasika (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), AAAI 2022
"Conditional Generative Model based Predicate-Aware Query Approximation", Nikhil Sheoran (University Of Illinois At Urbana-Champaign), Subrata Mitra (Adobe Research, Bangalore), Vibhor Porwal (Adobe Research, Bangalore), Siddharth Ghetia (IIT Roorkee), Jatin Varshney (IIT Roorkee), Tung Mai (Adobe Research), Anup Rao (Adobe Research), Vikas Maddukuri (IIT Roorkee), AAAI 2022
"Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training", Estelle Massart (University Of Oxford, UK National Physical Laboratory, UK), Vinayak Abrol (Indraprastha Institute Of Technology Delhi), AAAI 2022
"Deep Clustering of Text Representations for Supervision-Free Probing of Syntax", Vikram Gupta (ShareChat), Haoyue Shi (Toyota Technological Institute At Chicago), Kevin Gimpel (Toyota Technological Institute At Chicago), Mrinmaya Sachan (ETH Zurich), AAAI 2022
"Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China", Vishakha Agrawal (Dayananda Sagar College Of Engineering, Bangalore, India), AAAI 2022
"Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data", Paolo Fraccaro (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Nikola Stoyanov (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Zaheed Gaffoor (IBM Research Africa, Nairobi, Kenya), Laura Elena Cue La Rosa (IBM Research Brazil, Sao Paolo, Brazil), Jitendra Singh (IBM Research India, Gurgaon, India), Tatsuya Ishikawa (IBM Research Japan, Tokyo, Japan), Blair Edwards (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Anne Jones (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Komminist Weldermariam (IBM Research Africa, Nairobi, Kenya), AAAI 2022
"ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions", Koushik Biswas (Department Of Computer Science, IIIT Delhi, New Delhi, India.), Sandeep Kumar (Department Of Computer Science, IIIT Delhi, New Delhi, India. Department Of Mathematics, Shaheed Bhagat Singh College, University Of Delhi, New Delhi, India), Shilpak Banerjee (Department Of Mathematics, IIIT Delhi, New Delhi, India), Ashish Kumar Pandey (Department Of Mathematics, IIIT Delhi, New Delhi, India), AAAI 2022
"Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health", Aditya Mate (Google Research India, Harvard University), Lovish Madaan (Google Research India), Aparna Taneja (Google Research India), Neha Madhiwalla (ARMMAN), Shresth Verma (Google Research India), Gargi Singh (Google Research India), Aparna Hegde (ARMMAN), Pradeep Varakantham (Singapore Management University), Milind Tambe (Google Research India), AAAI 2022
"Gradient Based Activations for Accurate Bias-Free Learning", Vinod K. Kurmi (KU Leuven), Rishabh Sharma (IIT Roorkee), Yash Vardhan Sharma (IIT Roorkee), Vinay P Namboodiri (University Of Bath), AAAI 2022
"Gradient Temporal Difference with Momentum: Stability and Convergence", Rohan Deb (Indian Institute Of Science, Bangalore), Shalabh Bhatnagar (Indian Institute Of Science, Bangalore), AAAI 2022
"How Private Is Your RL Policy? An Inverse RL Based Analysis Framework", Kritika Prakash (IIIT Hyderabad), Fiza Husain (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Sujit Gujar (IIIT Hyderabad), AAAI 2022
"Implicit Gradient Alignment in Distributed and Federated Learning", Yatin Dandi (IIT Kanpur EPFL), Luis Barba (EPFL), Martin Jaggi (EPFL), AAAI 2022
"Interpretable Neural Subgraph Matching for Graph Retrieval", Indradyumna Roy (IIT Bombay), Venkata Sai Velugoti (IIT Bombay), Soumen Chakrabarti (IIT Bombay), Abir De (IIT Bombay), AAAI 2022
"Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning", Lokesh Nagalapatti (IIT Bombay), Ruhi Sharma Mittal (IBM Research), Ramasuri Narayanam (Adobe Research India), AAAI 2022
"Latent Time Neural Ordinary Differential Equations", Srinivas Anumasa (IIT Hyderabad), P. K. Srijith (IIT Hyderabad), AAAI 2022
"Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences", Vinayak Gupta (IIT Delhi), Srikanta Bedathur (IIT Delhi), Abir De (IIT Bombay), AAAI 2022
"LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents", Shounak Paul (IIT Kharagpur), Pawan Goyal (IIT Kharagpur), Saptarshi Ghosh (IIT Khargpur), AAAI 2022
"MINIMAL: Mining Models for Universal Adversarial Triggers", Yaman Kumar Singla (Adobe Media Data Science Research SUNY At Buffalo Indraprastha Institute Of Information Technology, Delhi), Swapnil Parekh (New York University), Somesh Singh (IIIT Delhi), Changyou Chen (University At Buffalo), Balaji Krishnamurthy (Adobe Media Data Science Research), Rajiv Ratn Shah (IIIT Delhi), AAAI 2022
"Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models", Changyu Chen (Singapore Management University), Avinandan Bose (Indian Institute Of Technology Kanpur), Shih-Fen Cheng (Singapore Management University), Arunesh Sinha (Singapore Management University), AAAI 2022
"Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation", Poorav Desai (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), Tanmoy Chakraborty (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), Md Shad Akhtar (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), AAAI 2022
"Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search", Animesh Sinha (Center For Computational Natural Sciences And Bioinformatics, International Institute Of Information Technology, Hyderabad Center For Quantum Science And Technology, International Institute Of Information Technology, Hyderabad), Utkarsh Azad (Center For Computational Natural Sciences And Bioinformatics, International Institute Of Information Technology, Hyderabad Center For Quantum Science And Technology, International Institute Of Information Technology, Hyderabad), Harjinder Singh (Center For Computational Natural Sciences And Bioinformatics, International Institute Of Information Technology, Hyderabad Center For Quantum Science And Technology, International Institute Of Information Technology, Hyderabad), AAAI 2022
"Self-supervised Enhancement of Latent Discovery in GANS", Silpa Vadakkeeveetil Sreelatha (TCS Research), Adarsh Kappiyath (Flytxt Mobile Solutions), S Sumitra (Indian Institute Of Space Science And Technology), AAAI 2022
"Sentiment and Emotion-aware Multi-modal Complaint Identification", Apoorva Singh (Indian Institute Of Technology Patna, India), Soumyodeep Dey (National Institute Of Technology Durgapur, India), Anamitra Singha (National Institute Of Technology Durgapur, India), Sriparna Saha (Indian Institute Of Technology Patna, India), AAAI 2022
"Towards Building ASR Systems for the Next Billion Users", Tahir Javed (IIT Madras, AI4Bharat), Sumanth Doddapaneni (AI4Bharat, RBCDSAI), Abhigyan Raman (AI4Bharat), Kaushal Santosh Bhogale (AI4Bharat), Gowtham Ramesh (AI4Bharat, RBCDSAI), Anoop Kunchukuttan (Microsoft, AI4Bharat), Pratyush Kumar (Microsoft, AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat, RBCDSAI), AAAI 2022
"Universal and Tight Online Algorithms for Generalized-Mean Welfare", Siddharth Barman (Indian Institute Of Science), Arindam Khan (Indian Institute Of Science), Arnab Maiti (Indian Institute Of Technology, Kharagpur), AAAI 2022
"Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees", Yaman Kumar Singla (Adobe Media Data Science Research State University Of New York At Buffalo IIIT-Delhi), Sriram Krishna (IIIT Delhi), Rajiv Ratn Shah (IIIT Delhi), Changyou Chen (State University Of New York At Buffalo), AAAI 2022
"AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning", Matheus Aparecido Do Carmo Alves (Lancaster University, Lancaster, United Kingdom), Amokh Varma (Indian Institute Of Technology, Dalhi, India), Yehia Elkhatib (University Of Glasgow, Gasglow, United Kingdom), Leandro Soriano Marcolino (Lancaster University, Lancaster, United Kingdom), AAMAS 2022
"How Hard is Safe Bribery?", Neel Karia (Microsoft Research, Bengaluru, India), Faraaz Mallick (Indian Institute Of Technology, Kharagpur, Kharagpur, India), Palash Dey (Indian Institute Of Technology, Kharagpur, Kharagpur, India), AAMAS 2022
"Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment", Ganesh Ghalme (Technion Israel Institute Of Technology, Haifa, Israel), Vineet Nair (Technion Israel Institute Of Technology, Haifa, Israel), Vishakha Patil (Indian Institute Of Science, Bangalore, India), Yilun Zhou (Massachusetts Institute Of Technology, Cambridge, MA, USA), AAMAS 2022
"On Parameterized Complexity of Binary Networked Public Goods Game", Arnab Maiti (Indian Institute Of Technology Kharagpur, Kharagpur, India), Palash Dey (Indian Institute Of Technology Kharagpur, Kharagpur, India), AAMAS 2022
"Optimal Matchings with One-Sided Preferences: Fixed and Cost-Based Quotas", Santhini K A (Indian Institute Of Technology Madras, Madras, India), Govind S Sankar (Duke University, Durham, NC, USA), Meghana Nasre (Indian Institute Of Technology Madras, Madras, India), AAMAS 2022
"REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing", Sujit Gujar (IIIT Hyderabad), Samhita Kanaparthy (IIIT Hyderabad), Sankarshan Damle (IIIT Hyderabad), AAMAS 2022
"Selecting PhD Students and Projects with Limited Funding", Jatin Jindal (Google, Kanpur, India), Jérôme Lang (CNRS, PSL, Paris, France), Katarína Na Cechlárová (Pavol Jozef Safárik University, Kosice, Slovakia), Julien Lesca (Huawei Technologies, Paris, France), AAMAS 2022
"IndicBART: A Pre-trained Model for Indic Natural Language Generation", Raj Dabre (National Institute Of Information And Communications Technology), Himani Shrotriya (IIT Madras), Anoop Kunchukuttan (Microsoft), Ratish Puduppully (University Of Edinburgh), Mitesh M. Khapra (IIT Madras), Pratyush Kumar (IIT Madras), ACL 2022
"Input-specific Attention Subnetworks for Adversarial Detection", Emil Biju (IIT Madras), Anirudh Sriram (IIT Madras), Pratyush Kumar (IIT Madras), Mitesh M. Khapra (IIT Madras), ACL 2022
"Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming", Ayush Maheshwari (IIT Bombay), Krishnateja Killamsetty (University Of Texas At Dallas), Ganesh Ramakrishnan (IIT Bombay), Marina Danilevsky (IBM Research), Lucian Popa (IBM Research), Rishabh Iyer (University Of Texas At Dallas), ACL 2022
"Meta-X NLG : A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation", Kaushal Kumar Maurya (IIT Hyderabad), Maunendra Sankar Desarkar (IIT Hyderabad), ACL 2022
"OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages", Prem Selvaraj (AI4Bharat), Gokul NC (AI4Bharat), Pratyush Kumar (AI4Bharat), Mitesh Khapra (AI4Bharat), ACL 2022
"Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages", Vaidehi Patil (Indian Institute Of Technology Bombay), Partha Talukdar (Google Research India), Sunita Sarawagi (Indian Institute Of Technology Bombay), ACL 2022
"SyMCoM - Syntactic Measure of Code Mixing A Study Of English-Hindi Code-Mixing", Prashant Kodali (IIIT Hyderabad), Anmol Goel (IIIT Hyderabad), ACL 2022
"The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through", Shruti Singh (IIT Gandhinagar), Mayank Singh (IIT Gandhinagar), ACL 2022
"Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances", Suvodip Dey (IIT Hyderabad), Kummara Ramamohan (IIT Hyderabad), Maunendra Sankar Desarkar (IIT Hyderabad), ACL 2022
"A Transformer Based Approach for Activity Detection", Gulshan Sharma (Indian Institute Of Technology Ropar, Rupnagar, India), Abhinav Dhall (Indian Institute Of Technology Ropar & Monash University, Rupnagar, India), Ramanathan Subramanian (University Of Canberra, Canberra, India), ACM Multimedia 2022
"Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations", Prince Jha (Indian Institute Of Technology Patna), Gael Dias (Universite Of Caen Normandie), Alexis Lechervy (Universite Of Caen Normandie), Jose Moreno (University Of Toulouse), Anubhav Jangra (Google Research India), Sebastiao Pais (University Of Beira Interior), Sriparna Saha (Indian Institute Of Technology Patna), ACM Multimedia 2022
"DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games", Nikhil Bansal (International Institute Of Information Technology Hyderabad, Hyderabad, India), Kartik Gupta (International Institute Of Information Technology Hyderabad, Hyderabad, India), Kiruthika Kannan (International Institute Of Information Technology Hyderabad, Hyderabad, India), Sivani Pentapati (International Institute Of Information Technology Hyderabad, Hyderabad, India), Ravi Kiran Sarvadevabhatla (International Institute Of Information Technology Hyderabad, Hyderabad, India), ACM Multimedia 2022
"Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration", Rishubh Parihar (Indian Institute Of Science, Bengaluru, India), Ankit Dhiman (Indian Institute Of Science, Bengaluru, India), Tejan Karmali (Indian Institute Of Science, Bengaluru, India), Venkatesh Babu R (Indian Institute Of Science, Bengaluru, India), ACM Multimedia 2022
"Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors", Sindhu B Hegde (IIIT Hyderabad), Rudrabha Mukhopadhyay (IIIT Hyderabad), Vinay P Namboodiri (University Of Bath, United Kingdom), CV Jawahar (IIIT Hyderabad), ACM Multimedia 2022
"Graph-based Group Modelling for Backchannel Detection", Garima Sharma (Monash University, Melbourne, Australia), Kalin Stefanov (Monash University, Melbourne, Australia), Abhinav Dhall (Indian Institute Of Technology Ropar, Ropar, India), Jianfei Cai (Monash University, Melbounre, Australia), ACM Multimedia 2022
"Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning", Arghya Pal (Harvard University & Monash University, Boston, MA, USA), Sailaja Rajanala (Indian Institute Of Technology Hyderabad & Monash University, Hyderabad, India), Rapharl C W Phan (Monash Univesity, Kuala Lumpur, Malaysia), Koksheik Wong (Monash Univesity, Kuala Lumpur, Malaysia), ACM Multimedia 2022
"Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild", Sindhu B. Hegde (IIIT Hyderabad), K R Prajwal (University Of Oxford, United Kingdom), Rudrabha Mukhopadhyay (IIIT Hyderabad), Vinay P. Namboodiri (University Of Bath, United Kingdom), C.V. Jawahar (IIIT Hyderabad), ACM Multimedia 2022
"MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues", Puneet Mathur (University Of Maryland, College Park, College Park, MD, USA), Atula Tejaswi Neerkaje (Manipal Institute Of Technology, Manipal, UNK, India), Malika Chhibber (BITS Pilani, Goa Campus, Goa, UNK, India), Ramit Sawhney (Georgia Institute Of Technology, Atlanta, GA, USA), Fuming Guo (Fidelity Investments, New York, UNK, USA), Franck Dernoncourt (Adobe Research, San Jose, CA, USA), Sanghamitra Dutta (University Of Maryland, College Park, College Park, MD, USA), Dinesh Manocha (University Of Maryland, College Park, College Park, MD, USA), ACM Multimedia 2022
"Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated Content", Shankhanil Mitra (Indian Institute Of Science, Bangalore, India), Rajiv Soundararajan (Indian Institute Of Science, Bangalore, India), ACM Multimedia 2022
"Robust Actor Recognition in Entertainment Multimedia at Scale", Abhinav Aggarwal (Amazon, Bengaluru, India), Yash Pandya (Amazon, Bengaluru, India), Lokesh A Ravindranathan (Twitter, Bengaluru, India), Laxmi S Ahire (Amazon, Bengaluru, India), Manivel Sethu (Amazon, Bengaluru, India), Kaustav Nandy (Amazon, Bengaluru, India), ACM Multimedia 2022
"Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning", Aishwarya Agarwal (Indian Institute Of Technology Bombay, Mumbai, India), Biplab Banerjee (Indian Institute Of Technology Bombay, Mumbai, India), F. Cuzzolin (Oxford Brookes University, Oxford, United Kingdom), Subhasis Chaudhuri (Indian Institute Of Technology Bombay, Mumbai, India), ACM Multimedia 2022
"Sentiment-aware Classifier for Out-of-Context Caption Detection", Muhannad Alkaddour (American University Of Sharjah, Sharjah, UAE), Abhinav Dhall (Indian Institute Of Technology Ropar, Rupnagar, India), Usman Tariq (American University Of Sharjah, Sharjah, UAE), Hasan Al-Nashash (American University Of Sharjah, Sharjah, UAE), Fares Al-Shargie (American University Of Sharjah, Sharjah, UAE), ACM Multimedia 2022
"xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image", Astitva Srivastava (IIIT Hyderabad, Hyderabad, India), Chandradeep Pokhariya (IIIT Hyderabad, Hyderabad, India), Sai Sagar Jinka (IIIT Hyderabad, Hyderabad, India), Avinash Sharma (IIIT Hyderabad, Hyderabad, India), ACM Multimedia 2022
"3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos", Vikram Gupta (ShareChat), Trisha Mittal (University Of Maryland), Puneet Mathur (University Of Maryland), Vaibhav Mishra (ShareChat), Mayank Maheshwari (ShareChat), Aniket Bera (University Of Maryland), Debdoot Mukherjee (ShareChat), Dinesh Manocha (University Of Maryland), CVPR 2022
"A Framework for Learning Ante-hoc Explainable Models via Concepts", Anirban Sarkar (IIT Hyderabad), Anindya Sarkar (IIT Hyderabad), Deepak Vijayakeerthy (IIT Hyderabad), V. Balasubramanian (IIT Hyderabad), CVPR 2022
"A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration", Ramya Hebbalaguppe (IIT Delhi), Jatin Prakash (IIT Delhi), Neelabh Madan (IIT Delhi), Chetan Arora (IIT Delhi), CVPR 2022
"ABO: Dataset and Benchmarks for Real-World 3D Object Understanding", Jasmine Collins (UC Berkeley,), Shubham Goel (UC Berkeley,), Kenan Deng (Amazon,), Achleshwar Luthra (BITS Pilani,), Leon Xu (UC Berkeley, Amazon,), Erhan Gundogdu (Amazon,), Xi Zhang (Amazon,), Tomas F. Yago Vicente (Amazon,), Thomas Dideriksen (Amazon,), Himanshu Arora (Amazon,), Matthieu Guillaumin (Amazon,), Jitendra Malik (UC Berkeley,), CVPR 2022
"AirObject: A Temporally Evolving Graph Embedding for Object Identification", Nikhil Varma Keetha (Carnegie Mellon University, IIT (ISM), Dhanbad, India,), Chen Wang (Carnegie Mellon University,), Yuheng Qiu (Carnegie Mellon University,), Kuan Xu (Geek+Corp,), Sebastian Scherer (Carnegie Mellon University,), CVPR 2022
"ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes", Rahul Sajnani (RRC, IIIT-Hyderabad,), Adrien Poulenard (Stanford University,), Jivitesh Jain (RRC, IIIT-Hyderabad,), Radhika Dua (KAIST,), Leonidas J. Guibas (Stanford University,), Srinath Sridhar (Brown University,), CVPR 2022
"Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning", Arnav Chavan (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), Rishabh Tiwari (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), Udbhav Bamba (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), Deepak K. Gupta (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), CVPR 2022
"Ego4D: Around the World in 3,000 Hours of Egocentric Video", Kristen Grauman (Meta AI, University Of Texas At Austin,), Andrew Westbury (Meta AI,), Eugene Byrne (Meta AI,), Zachary Chavis (University Of Minnesota,), Antonino Furnari (University Of Catania,), Rohit Girdhar (Meta AI,), Jackson Hamburger (Meta AI,), Hao Jiang (Meta Reality Labs,), Miao Liu (Georgia Tech,), Xingyu Liu (Carnegie Mellon University,), Miguel Martin (Meta AI,), Tushar Nagarajan (Meta AI, University Of Texas At Austin,), Ilija Radosavovic (UC Berkeley,), Santhosh Kumar Ramakrishnan (Meta AI, University Of Texas At Austin,), Fiona Ryan (Georgia Tech,), Jayant Sharma (University Of Minnesota,), Michael Wray (University Of Bristol,), Mengmeng Xu (King Abdullah University Of Science And Technology,), Eric Zhongcong Xu (National University Of Singapore,), Chen Zhao (King Abdullah University Of Science And Technology,), CVPR 2022
"Energy-based Latent Aligner for Incremental Learning", Joseph K J (IIT-Hyderabad), Salman Khan (MBZUAI), Fahad Khan (MBZUAI), Rao Anwar (MBZUAI), Vineeth N Balasubramanian (IIT-Hyderabad), CVPR 2022
"FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing", Pradeep Shenoy (Google Research India), Pranav Gupta (IIIT-H), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), Rishubh Singh (Google Research India), CVPR 2022
"GCR: Gradient coreset based replay buffer selection for continual learning", Krishnateja Killamsetty (University Of Texas), Pradeep Shenoy (Google Research India), Rishabh Iyer (University Of Texas), Rishabh Tiwari (IIT ISM), CVPR 2022
"Generative Cooperative Learning for Unsupervised Video Anomaly Detection", M. Zaigham Zaheer (Electronics And Telecommunications Research Institute, Univ. Of Science And Technology, ETH Zurich, Mohamed Bin Zayed Univ. Of Artificial Intelligence,), Arif Mahmood (Information Technology Univ. Punjab,), M. Haris Khan (Mohamed Bin Zayed Univ. Of Artificial Intelligence,), Mattia Segu (ETH Zurich,), Fisher Yu (ETH Zurich,), Seung-Ik Lee (Electronics And Telecommunications Research Institute, Univ. Of Science And Technology,), CVPR 2022
"GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking", Abhishek Kumar (Department Of Artificial Intelligence, Kyungpook National University, Daegu, South Korea,), Oladayo S. Ajani (Department Of Artificial Intelligence, Kyungpook National University, Daegu, South Korea,), Swagatam Das (Electronics And Communication Sciences Unit, Indian Statistical Institute, Kolkata, India,), Rammohan Mallipeddi (Department Of Artificial Intelligence, Kyungpook National University, Daegu, South Korea,), CVPR 2022
"Merry Go Round: Rotate a Frame and Fool a DNN", Daksh Thapar (IIT Mandi), Aditya Nigam (IIT Mandi), Chetan Arora (IIT Delhi), CVPR 2022
"OW-DETR: Open-world Detection Transformer", Akshita Gupta (IIAI, UAE), Sanath Narayan (IIAI, UAE), Joseph K J (IIT-Hyderabad), Salman Khan (MBZUAI, UAE), Fahad Khan (MBZUAI, UAE), Mubarak Shah (UCF, USA), CVPR 2022
"Proto2Proto: Can you recognize the car, the way I do?", Monish Keswani (IIT Hyderabad), Sriranjani Ramakrishnan (IIT Hyderabad), Nishant Reddy (IIT Hyderabad), Vineeth N Balasubramanian (IIT Hyderabad), CVPR 2022
"Robust outlier detection by de-biasing VAE likelihoods", Barath Mohan U (IISc), Kushal Chauhan (Google Research India), Manish Gupta (Google Research India), Pradeep Shenoy (Google Research India), Sridhar Devarajan (IISc), CVPR 2022
"Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique", Koushik Biswas (IIIT Delhi,), Sandeep Kumar (IIIT Delhi, Shaheed Bhagat Singh College, University Of Delhi,), Shilpak Banerjee (IIT Tirupati,), Ashish Kumar Pandey (IIIT Delhi,), CVPR 2022
"Spacing Loss for Discovering Novel Categories", Gaurav Aggarwal (Google Research India), Joseph K J (Google Research), Kai Han (Google Research), Piyush Rai (Google Research), Soma Biswas (IISc), Sujoy Paul (Google Research India), Vineeth N Balasubramanian (Indian Institute Of Technology), CVPR 2022
"Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning", Soumen Basu (IIT Delhi), Mayank Gupta (IIT Delhi), Pratyaksha Rana (PGIMER Chandigarh), Pankaj Gupta (PGIMER Chandigarh), Chetan Arora (IIT Delhi), CVPR 2022
"Towards Data-Free Model Stealing in a Hard Label Setting", Sunandini Sanyal (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore,), Sravanti Addepalli (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore,), CVPR 2022
"Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation", Jogendra Nath Kundu (Indian Institute Of Science, Bangalore,), Siddharth Seth (Indian Institute Of Science, Bangalore,), Pradyumna YM (Indian Institute Of Science, Bangalore,), Varun Jampani (Google Research,), Anirban Chakraborty (Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore,), CVPR 2022
"Unseen Classes at a Later Time? No Problem", Hari Chandana Kuchibhotla (IIT Hyderabad), Sumitra S Malagi (IIT Hyderabad), Shivam Chandhok (INRIA, Universite Grenoble Alpes), Vineeth N Balasubramanian (IIT Hyderabad), CVPR 2022
"Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space", Arnav Chavan (IIT Dhanbad, MBZUAI,), Zhiqiang Shen (CMU, MBZUAI,), Zhuang Liu (UC Berkeley,), Zechun Liu (Reality Labs, Meta Inc.,), Kwang-Ting Cheng (HKUST,), Eric Xing (CMU, MBZUAI,), CVPR 2022
"Attaining Class-level Forgetting in Pretrained Model using Few Samples", Pravendra Singh (IIT Roorkee), Pratik Mazumder (IIT Jodhpur), Mohammed Asad Karim (Carnegie Mellon University, USA), ECCV 2022
"Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer", Arjun Ashok (IIT Hyderabad & PSG College Of Technology, Coimbatore), K. J. Joseph (IIT Hyderabad), Vineeth N. Balasubramanian (IIT Hyderabad), ECCV 2022
"Completely Self-Supervised Crowd Counting via Distribution Matching", Deepak B. S. (Indian Institute Of Science), Abhinav A. (Indian Institute Of Science), Jimmy Joseph (Indian Institute Of Science), Vishwanath S. (Johns Hopkins University), R. Venkatesh Babu (Indian Institute Of Science), Vishal Patel (Johns Hopkins University), ECCV 2022
"Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation", Jogendra Nath Kundu (Indian Institute Of Science), Suvaansh B. (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Hiran S. (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Distilling the Undistillable: Learning from a Nasty Teacher", Surgan Jandial (Adobe MDSR Labs), Yash Khasbage (IIT Hyderabad), Arghya Pal (Dept. Of Psychiatry And Radiology, Harvard), Vineeth N Balasubramanian (IIT Hyderabad), Balaji Krishnamurthy (Adobe MDSR Labs), ECCV 2022
"Hierarchical Semantic Regularization of Latent Spaces in StyleGANs", Tejan Karmali (Indian Institute Of Science), Rishubh Parihar (Indian Institute Of Science), Susmit A. (Indian Institute Of Science), Harsh Rangwani (Indian Institute Of Science), Varun Jampani (Google Research), Maneesh Singh (Verisk), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Improving GANs for Long-Tailed Data through Group Spectral Regularization", Harsh Rangwani (Indian Institute Of Science), Naman J. (Indian Institute Of Science), Tejan Karmali (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Learning from Unlabeled 3D Environments for Vision-and-Language Navigation", Shizhe Chen (Inria Paris), Pierre-Louis Guhur (Inria Paris), Makarand Tapaswi (IIIT Hyderabad), Cordelia Schmid (Inria Paris), Ivan Laptev (Inria Paris), ECCV 2022
"Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions", Nikhil Reddy (University Of Queensland – IIT Delhi Academy Of Research (UQIDAR)), Abhinav Singhal (IIT Delhi), Abhishek Kumar (IIT Delhi), Mahsa Baktashmotlagh (The University Of Queensland), Chetan Arora (IIT Delhi), ECCV 2022
"My View is the Best View: Procedure Learning from Egocentric Videos", Siddhant Bansal (IIIT Hyderabad), Chetan Arora (IIT Delhi), C.V. Jawahar (IIIT Hyderabad), ECCV 2022
"Novel Class Discovery without Forgetting", Joseph K J (IIT Hyderabad), Sujoy Paul (Google Research), Soma Biswas (Indian Institute Of Science), Piyush Rai (IIT Kanpur), Kai Han (The University Of Hong Kong), Vineeth N Balasubramanian (IIT Hyderabad), ECCV 2022
"Scaling Adversarial Training to Large Perturbation Bounds", Sravanti Addepalli (Indian Institute Of Science), Samyak Jain (Indian Institute Of Science), Gaurang S. (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning", Soma Biswas (Indian Institute Of Science), Jayateja Kalla (Indian Institute Of Science), ECCV 2022
"Towards Efficient and Effective Self-Supervised Learning of Visual Representations", Sravanti Addepalli (Indian Institute Of Science), Kaushal Bhogale (Indian Institute Of Science), Priyam Dey (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"A Journey from Commit Processing in Distributed Databases to Consensus in Blockchain", Kamal Kant (“2025” Dept. Of Computer Sc. & Engg., M. M. M. University Of Technology, Gorakhpur, India,), Sarvesh Pandey (“Supervised By” Dept. Of Computer Science, MMV, BHU, Varanasi, India,), Udai Shanker (“Supervised By” Dept. Of Computer Sc. & Engg., M. M. M. U. T., Gorakhpur, India,), ICDE 2022
"An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ", Sagar Shedge (SAP Labs, Pune, Maharashtra, India,), Nishant Sharma (SAP Labs, Pune, Maharashtra, India,), Anant Agarwal (SAP Labs, Pune, Maharashtra, India,), Mohammed Abouzour (SAP Labs, Waterloo, Ontario, Canada,), Güneş Aluç (SAP Labs, Waterloo, Ontario, Canada,), ICDE 2022
"On Efficient Large Maximal Biplex Discovery (Extended abstract)", Kaiqiang Yu (Nanyang Technological University, Singapore, Singapore,), Cheng Long (Nanyang Technological University, Singapore, Singapore,), Deepak P (Queen`s University Belfast, Belfast, UK,), Tanmoy Chakraborty (IIIT-Delhi, New Delhi, India,), ICDE 2022
"On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract)", Junaid Ali (Max Planck Institute For Software Systems,), Mahmoudreza Babaei (Max Planck Institute For Human Development,), Abhijnan Chakraborty (Indian Institute Of Technology, Delhi,), Baharan Mirzasoleiman (UCLA,), Krishna P. Gummadi (Max Planck Institute For Software Systems,), Adish Singla (Max Planck Institute For Software Systems,), ICDE 2022
"Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective", Anasua Mitra (Indian Institute Of Technology Guwahati), Priyesh Viajayan (McGill University & MILA), Ranbir Sanasam (Indian Institute Of Technology Guwahati), Diganta Goswami (Indian Institute Of Technology Guwahati), Srinivasan Parthasarathy (Ohio State University), Balaraman Ravindran (Indian Institute Of Technology Madras), ICDE 2022
"Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective", Anasua Mitra (Indian Institute Of Technology, Guwahati, India,), Priyesh Vijayan (Ohio State University, Ohio, USA,), Sanasam Ranbir Singh (Indian Institute Of Technology, Guwahati, India,), Diganta Goswami (Indian Institute Of Technology, Guwahati, India,), Srinivasan Parthasarathy (McGill University & MILA, Montreal, Canada,), Balaraman Ravindran (Robert Bosch Centre For Data Science And AI Indian Institute Of Technology Madras, Chennai, India,), ICDM 2022
"THINK: Temporal Hypergraph Hyperbolic Network", Shivam Agarwal (University Of Illinois At Urbana-Champaign,), Ramit Sawhney (Georgia Institute Of Technology,), Megh Thakkar (BITS Pilani,), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence,), Jiawei Han (University Of Illinois At Urbana-Champaign,), Tyler Derr (Vanderbilt University,), ICDM 2022
"A Theory of Tournament Representations", Arun Rajkumar (Indian Institute Of Technology Madras), Abdul Bakey Mir (Indian Institute Of Technology Madras), Vishnu Veerathu (Cohesity Inc), ICLR 2022
"Focus on the Common Good: Group Distributional Robustness Follows.", Vihari Piratla (IIT Bombay), Praneeth Netrapalli (Google Research), Sunita Sarawagi (IIT Bombay), ICLR 2022
"IGLU: Efficient GCN Training via Lazy Updates", S Deepak Narayanan (ETH Zurich), Aditya Sinha (Google Research India), Prateek Jain (Google Research India), Purushottam Kar (IIT Kanpur), Sundararajan Sellamanickam (Microsoft Research India), ICLR 2022
"Minimax optimization with Smooth Algorithmic Adversaries", Chi Jin (Princeton University), Lillian Ratliff (University Of Washington), Praneeth Netrapalli (Google Research India), Tanner Fiez (University Of Washington), ICLR 2022
"Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs", Dheeraj Nagaraj (Google Research India, MIT), Naman Agarwal (Google Research India), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), Syomantak Chaudhari (University Of California), ICLR 2022
"Symbolic Binding in Neural Networks through Factorized Memory Systems", Ameya Shrikant Daigavane (Google Research India), Ansh Khurana (Google Research India), Gaurav Aggarwal (Google Research India), Shweta Bhardwaj (Google Research India), ICLR 2022
"A Closer Look at Smoothness in Domain Adversarial Training", Harsh Rangwani (Indian Institute Of Science), Sumukh Aithal (Indian Institute Of Science), Mayank Mishra (Indian Institute Of Science), Arihant Jain (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), ICML 2022
"Balancing Discriminability and Transferability for Source-Free Domain Adaptation", Jogendra Nath Kundu (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Suvaansh Bhambri (Indian Institute Of Science), Deepesh M. (Indian Institute Of Science), Shreyas K. (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), ICML 2022
"Matching Learned Causal Effects of Neural Networks with Domain Priors", Sai Srinivas Kancheti (Indian Institute Of Technology, Hyderabad), Abbavaram Gowtham Reddy (Indian Institute Of Technology, Hyderabad), Amit Sharma (Microsoft Research India), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), ICML 2022
"VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis", Tathagat Verma (IIT Bombay), Abir De (IIT Bombay), Yateesh Agrawal (IIT Bombay), Vishwa Vinay (Adobe Research), Soumen Chakrabarti (IIT Bombay), ICML 2022
"Rectification-based Knowledge Retention for Task Incremental Learning", Pratik Mazumde (IIT Jodhpur), Pravendra Singh (IIT Roorkee), Piyush Rai (IIT Kanpur), Vinay P. Namboodiri (University Of Bath, UK), IEEE PAMI 2022
"Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification", Abram Magner (University At Albany (SUNY), Albany), Mayank Baranwal (Tata Consultancy Services Research, Mumbai), Alfred O. Hero (University Of Michigan, Ann Arbor), IEEE Transactions on Information Theory 2022
"Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes", Soumitra Ghosh (Department Of Computer Science And Engineering, IIT Patna, India), Asif Ekbal (Department Of Computer Science And Engineering, IIT Patna, India), Pushpak Bhattacharyya (Department Of Computer Science And Engineering, IIT Bombay, India), IJCAI 2022
"Air tissue boundary segmentation using regional loss in real-time Magnetic Resonance Imaging video for speech production", Anwesha Roy (Indian Institute Of Science), Varun Belagali (Indian Institute Of Science), Prasanta Ghosh (Indian Institute Of Science), Interspeech 2022
"Gram vaani asr challenge on spontaneous telephone speech recordings in regional variations of hindi", Anish Bhanushali (IIT Madras), Grant Bridgman (Uliza), Deekshitha G (Indian Institute Of Science), Prasanta Ghosh (Indian Institute Of Science), Pratik Kumar (Indian Institute Of Science), Saurabh Kumar (Indian Institute Of Science), Adithya Raj Kolladath (IIT Madras), Nithya Ravi (IIT Madras), Aaditeshwar Seth (IIT Delhi), Ashish Seth (IIT Madras), Abhayjeet Singh (Indian Institute Of Science), Vrunda Sukhadia (IIT Madras), Umesh S (IIT Madras), Sathvik Udupa (Indian Institute Of Science), Lodagala V. S. V. Durga Prasad (IIT Madras), Interspeech 2022
"Streaming model for Acoustic to Articulatory Inversion with transformer networks", Sathvik Udupa (Indian Institute Of Science), Aravind Illa (Amazon), Prasanta Ghosh (Indian Institute Of Science), Interspeech 2022
"Watch Me Speak: 2D Visualization of Human Mouth during Speech", C Siddarth (Indian Institute Of Information Technology), Sathvik Udupa (Indian Institute Of Science), Prasanta Kumar (Indian Institute Of Science), Interspeech 2022
"Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics", Harsh Rangwani (Indian Institute Of Science), Shrinivas Ramasubramanian (Indian Institute Of Science), Sho Takemori (Fujitsu), Kato Takashi (Fujitsu), Yuhei Umeda (Fujitsu), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Efficient and Effective Augmentation Strategy for Adversarial Training", Sravanti Addepalli (Indian Institute Of Science), Samyak Jain (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data", Harsh Rangwani (Indian Institute Of Science), Sumukh K Aithal (Indian Institute Of Science), Mayank Mishra (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Learnability of Linear Thresholds from Label Proportions", Rishi Saket (Google Research India), NeurIPS 2022
"Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network", Ravinder Bhattoo (IIT Delhi), Sayan Ranu (IIT Delhi), N. M. Anoop Krishnan (IIT Delhi), NeurIPS 2022
"Learning Recourse on Instance Environment to Enhance Prediction Accuracy", Lokesh Nagalapatti (IIT Bombay), Guntakanti Sai Koushik (IIT Bombay), Abir De (IIT Bombay), Sunita Sarawagi (IIT Bombay), NeurIPS 2022
"Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks", Indradyumna Roy (IIT Bombay), Soumen Chakrabarti (IIT Bombay), Abir De (IIT Bombay), NeurIPS 2022
"Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection", Abir De (IIT Bombay), Soumen Chakrabarti (IIT Bombay), NeurIPS 2022
"Probing Classifiers are Unreliable for Concept Removal and Detection", Abhinav Kumar (Microsoft Research India), Chenhao Tan (University Of Chicago), Amit Sharma (Microsoft Research India), NeurIPS 2022
"Root Cause Analysis of Failures in Microservices through Causal Discovery", Azam Ikram (Purdue University), Sarthak Chakraborty (Adobe Research), Subrata Mitra (Adobe Research), Shiv Kumar Saini (Adobe Research), Saurabh Bagchi (Purdue University), Murat Kocaoglu (Purdue University), NeurIPS 2022
"Subsidiary Prototype Alignment for Universal Domain Adaptation", Jogendra Nath Kundu (Indian Institute Of Science), Suvaansh Bhambri (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Hiran Sarkar (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems", Abishek Thangamuthu (IIT Delhi), Gunjan Kumar (IIT Delhi), Suresh Bishnoi (IIT Delhi), Ravinder Bhattoo (IIT Delhi), N M Anoop Krishnan (IIT Delhi), Sayan Ranu (IIT Delhi), NeurIPS 2022
"When to Intervene: Learning Optimal Intervention Policies for Critical Events", Niranjan Damera Venkata (HP Inc. (Chennai)), Chiranjib Bhattacharyya (IISc (Bangalore)), NeurIPS 2022
"Deep Indexed Active Learning for Matching Heterogeneous Entity Representations.", Arjit Jain (IIT Bombay), Sunita Sarawagi (IIT Bombay), and Prithviraj Sen (IBM Research, Almaden), PVLDB 2022
"New wine in an old bottle: Data-aware hash functions for Bloom filters", Arindam Bhattacharya (IIT Delhi), Chathur Gudesa (IIT Delhi), Amitabha Bagchi (IIT Delhi), Srikanta Bedathur (IIT Delhi), PVLDB 2022
"Projection-Compliant Database Generation", Anupam Sanghi (Indian Institute Of Science), Shadab Ahmed (Indian Institute Of Science), Jayant R Haritsa (Indian Institute Of Science), PVLDB 2022
"A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection in Multi-modal Code-Mixed Memes", Krishanu Maity (Indian Institute Of Technology Patna), Prince Jha (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), SIGIR 2022
"An Efficient Fusion Mechanism for Multimodal Low-resource Setting", Dushyant Singh Chauhan (Department Of Computer Science & Engineering Indian Institute Of Technology Patna, India), Asif Ekbal (Department Of Computer Science & Engineering Indian Institute Of Technology Patna, India), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay Bombay, India), SIGIR 2022
"CAVES: A dataset to facilitate explainable classification and summarization of concerns towards COVID vaccines", Soham Poddar (IIT Kharagpur), Azlaan Mustafa Samad (IIT Kharagpur), Rajdeep Mukherjee (IIT Kharagpur), Niloy Ganguly (IIT Kharagpur; Leibniz University), Saptarshi Ghosh (IIT Kharagpur), SIGIR 2022
"Curriculum Learning for Dense Retrieval Distillation", Hansi Zeng (University Of Massachusetts Amherst, Amherst, MA, USA), Hamed Zamani (University Of Massachusetts Amherst, Amherst, MA, USA), Vishwa Vinay (Adobe Research, Bangalore, AA, India), SIGIR 2022
"Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities", Vishwa Vinay (Adobe Research, Bangalore, India), Manoj Kilaru (University Of California, San Diego, CA, USA), David T Arbour (Adobe Research, San Jose, CA, USA), SIGIR 2022
"Towards Motivational and Empathetic Response Generation in Online Mental Health Support", Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty, Sriparna Saha (Indian Institute Of Technology Patna), SIGIR 2022
"A Process-Aware Decision Support System for Business Processes", Prerna Agarwal (IBM Research, New Delhi, UNK, India), Buyu Gao (IBM Research, Beijing, UNK, China), Siyu Huo (IBM Research, Yorktown Heights, NY, USA), Prabhat Reddy (IBM Research, Yorktown Heights, NY, USA), Sampath Dechu (IBM Research, Cambridge, MA, USA), Yazan Obeidi (IBM Canada Ltd.), Vinod Muthusamy (IBM Research), Vatche Isahagian (IBM Research), Sebastian Carbajales (IBM Canada Ltd.), SIGKDD 2022
"ASPIRE: Air Shipping Recommendation for E-Commerce Products via Causal Inference Framework", Abhirup Mondal (Amazon, India), Anirban Majumder (Amazon, India), Vineet Chaoji (Amazon, India), SIGKDD 2022
"BE3R: BERT based Early-Exit Using Expert Routing", Sourab Mangrulkar (Amazon, Bengaluru, India), Ankith M S (Amazon, Bengaluru, India), Vivek Sembium (Amazon, Bengaluru, India), SIGKDD 2022
"COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation", Yashal Shakti Kanungo (Amazon, Seattle, WA, USA), Gyanendra Das (Amazon, Bangalore, India), Pooja A (Amazon, Bangalore, India), Sumit Negi (Amazon, Bangalore, India), SIGKDD 2022
"Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering", Aseem Srivastava (IIIT-Delhi, Delhi, UNK, India), Tharun Suresh (IIIT-Delhi, Delhi, UNK, India), Sarah P Lord (Mpathic.ai), University Of Washington, Bellevue, WA, USA (), Md Shad Akhtar (IIIT-Delhi, Delhi, UNK, India), Tanmoy Chakraborty (Indian Institute Of Technology Delhi), SIGKDD 2022
"Multi-Variate Time Series Forecasting on Variable Subsets", Jatin Chauhan (Google Research, Bangalore, India), Aravindan Raghuveer (Google Research, Bangalore, India), Rishi Saket (Google Research, Bangalore, India), Jay Nandy (Google Research, Bangalore, India), Balaraman Ravindran (Indian Institute Of Technology, Madras, Chennai, India), SIGKDD 2022
"ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences", Vinayak Gupta (IIT Delhi), Srikanta Bedathur (IIT Delhi), SIGKDD 2022
"Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization", Sarah Masud (IIIT-Delhi, Delhi, UNK, India), Manjot Bedi (Northeastern University, Boston, UNK, USA), Mohammad Aflah Khan (IIIT-Delhi, Delhi, UNK, India), Md Shad Akhtar (IIIT-Delhi, Delhi, UNK, India), Tanmoy Chakraborty (Indian Institute Of Technology Delhi), SIGKDD 2022
"Efficient Insights Discovery through Conditional Generative Model based Query Approximation", Vibhor Porwal (Adobe Research, Bangalore, India), Subrata Mitra (Adobe Research, Bangalore, India), Fan Du (Adobe Research, San Jose, CA, USA), John Anderson (Adobe Inc., San Jose, CA, USA), Nikhil Sheoran (University Of Illinois At Urbana-Champaign, Champaign, IL, USA), Anup Rao (Adobe Inc.), Tung Mai (Adobe Inc.), Gautam Kowshik (Adobe Inc.), Sapthotharan Nair (Adobe Inc.), Sameeksha Arora (Adobe Inc.), Saurabh Mahapatra (Adobe Inc.), SIGMOD 2022
"Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction", Suchana Datta (University College Dublin, Dublin, Ireland), Debasis Ganguly (University Of Glasgow, Glasgow, United Kingdom), Derek Greene (University College Dublin, Dublin, Ireland), Mandar Mitra (Indian Statistical Institute, Kolkata, India), WSDM 2022
"MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related Microblogs", Rajdeep Mukherjee (IIT Kharagpur, India), Uppada Vishnu (IIT Kharagpur, India), Hari Chandana Peruri (IIT Kharagpur, India), Sourangshu Bhattacharya (IIT Kharagpur, India), Koustav Rudra (IIT (ISM) Dhanbad, India), Pawan Goyal (IIT Kharagpur, India), Niloy Ganguly (IIT Kharagpur, India And Leibniz University Of Hannover, Germany), WSDM 2022
"Semi-supervised stance detection of tweets via distant network supervision", Subhabrata Dutta (Jadavpur University), Samiya Caur (IIIT Delhi), Soumen Chakrabarti (IIT Bombay), Tanmoy Chakraborty (IIIT Delhi), WSDM 2022
"Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations", Ganeshan Malhotra (BITS Pilani, Goa, India), Abdul Waheed (Maharaja Agrasen Institute Of Technology, New Delhi, India), Aseem Srivastava (IIIT-Delhi, Delhi, India), Md Shad Akhtar (IIIT-Delhi, Delhi, India), Tanmoy Chakraborty (IIIT-Delhi, Delhi, India), WSDM 2022
"The Multi-vehicle Ride-Sharing Problem", Kelin Luo (Eindhoven University Of Technology & University Of Bonn, Eindhoven, Netherlands), Chaitanya Agarwal (New York University, New York, NY, USA), Syamantak Das (Indraprastha Institute Of Information Technology Delhi, Delhi, India), Xiangyu Guo (University At Buffalo, Buffalo, NY, USA), WSDM 2022
"Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers", Abhisek Dash (IIT Kharagpur), Abhijnan Chakraborty (IIT Delhi), Saptarshi Ghosh (IIT Kharagpur), Animesh Mukherjee (IIT Kharagpur), Krishna P. Gummadi (Max Planck Institute For Software Systems (MPI-SWS)), WWW 2022
"AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations", Sk Mainul Islam (IIT Kharagpur), Sourangshu Bhattacharya (IIT Kharagpur), WWW 2022
"Efficient Neural Ranking using Forward Indexes", Jurek Leonhardt (L3S Research Center, Germany), Koustav Rudra (Computer Science And Engineering, Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), Megha Khosla (L3S Research Center, Germany), Abhijit Anand (L3S Research Center, Germany), Avishek Anand (L3S Research Center, Germany), WWW 2022
"Fair k-Center Clustering in MapReduce and Streaming", Suman Bera (Katana Graph), Syamantak Das (IIIT Delhi), Sainyam Galhotra (University Of Chicago), Sagar Kale (University Of Vienna), WWW 2022
"MemStream: Memory-Based Streaming Anomaly Detection", Siddharth Bhatia (National University Of Singapore, Singapore), Arjit Jain (IIT Bombay, India), Shivin Srivastava (National University Of Singapore, Singapore), Kenji Kawaguchi (Harvard University, USA), Bryan Hooi (National University Of Singapore, Singapore), WWW 2022
"OffDQ: An Offline Deep Learning Framework for QoS Prediction", Soumi Chattopadhyay (Indian Institute Of Information Technology Guwahati, India), Richik Chanda (Indian Institute Of Information Technology Guwahati, India), Suraj Kumar (Indian Institute Of Information Technology Guwahati, India), Chandranath Adak (Indian Institute Of Information Technology, Lucknow, India), WWW 2022
"Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction", Gourab K Patro (IIT Kharagpur), Prithwish Jana (IIT Kharagpur), Abhijnan Chakraborty (IIT Delhi), Krishna P. Gummadi (Max Planck Institute For Software Systems (MPI-SWS)), Niloy Ganguly (IIT Kharagpur), WWW 2022
"The Case of SPARQL UNION, FILTER and DISTINCT", Medha Atre (Independent Consultant, India), WWW 2022
"Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs", Thi Huyen Nguyen (L3S Research Center, Germany), Koustav Rudra (Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), WWW 2022
"A Context Aware Approach for Generating Natural Language Attacks", Rishabh Maheshwary (IIIT Hyderabad), Saket Maheshwary (IIIT Hyderabad), Vikram Pudi (IIIT Hyderabad), AAAI 2021
"A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization", Adepu Ravi Sankar (IIT-Hyderabad), Yash Khasbage (IIT-Hyderabad), Rahul Vigneswaran (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), AAAI 2021
"Adversarial Permutation Guided Node Representations for Link Prediction", Indradyumna Roy (IIT Bombay), Abir De (IIT Bombay), Soumen Chakrabarti (IIT Bombay), AAAI 2021
"An Enhanced Advising Model In Teacher-Student framework Using State Categorization", Daksh Anand (IIIT Hyderabad), Vaibhav Gupta (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Balaraman Ravindran (IIT Madras), AAAI 2021
"Bootstrapping Dialog Models from Human to Human Conversation Logs", Pankaj Dhoolia (IBM Research AI, New Delhi), Vineet Kumar (IBM Research AI, New Delhi), Danish Contractor (IBM Research AI, New Delhi), Sachindra Joshi (IBM Research AI, New Delhi), AAAI 2021
"Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features", Chaitanya Amballa (TCS Research), Manu Kumar Gupta (IIT Roorkee), Sanjay P. Bhat (TCS Research), AAAI 2021
"Differentially Private Link Prediction with Protected Connections", Abir De (IIT Bombay) and Soumen Chakrabarti (IIT Bombay), AAAI 2021
"DSLR : Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder", P. Kumar(IISc), S. Sahoo(IISc), V. Shah(IISc), V. Kondameedi(IISc), A. Jain(IISc), A. Verma(IISc), C. Bhattacharyya(IISc), and V. Vinay(AMIDC, CMI), AAAI 2021
"Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input", Hussain A. Chowdhury (Tezpur University), AAAI 2021
"Efficient Poverty Mapping from High Resolution Remote Sensing Images", Kumar Ayush (Department Of Computer Science, Stanford University), Burak Uzkent (Department Of Computer Science, Stanford University), Kumar Tanmay (Department Of Electrical Engineering, IIT Kharagpur), Marshall Burke (Department Of Earth Science, Stanford University), David Lobell (Department Of Earth Science, Stanford University), Stefano Ermon (Department Of Computer Science, Stanford University), AAAI 2021
"Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning", Yifang Yin (National University Of Singapore), Harsh Shrivastava (National University Of Singapore), Ying Zhang (National University Of Singapore Northwestern Polytechnical University, China), Zhenguang Liu (Zhejiang Gongshang University), Rajiv Ratn Shah (IIIT Delhi), Roger Zimmermann (National University Of Singapore), AAAI 2021
"Enhanced Regularizers for Attributional Robustness", Anindya Sarkar* (IIT-Hyderabad), Anirban Sarkar* (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), AAAI 2021
"Estimation of Spectral Risk Measures", Ajay Kumar Pandey (IIT Madras), Prashanth L. A. (IIT Madras), and Sanjay P. Bhat (TCS Research), AAAI 2021
"Few-shot Lifelong Learning", Pratik Mazumder (IIT Kanpur), Pravendra Singh (Independent), and Piyush Rai (IIT Kanpur), AAAI 2021
"Game of gradients: Mitigating irrelevant clients in federated learning", Lokesh Nagalapatti (IBM Research), Ramasuri Narayanam (IBM Research), AAAI 2021
"Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text", Nishtha Madaan (IBM Research India), Inkit Padhi (IBM Research Yorktown), Naveen Panwar (IBM Research India), Diptikalyan Saha (IBM Research India), AAAI 2021
"Generating natural language attacks in a hard label black box setting", Rishabh Maheshwary (IIIT Hyderabad), Saket Maheshwary (IIIT Hyderabad), Vikram Pudi (IIIT Hyderabad), AAAI 2021
"GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning", KrishnaTeja Killamsetty (UT Dallas), Durga Sivasubramanian (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), and Rishabh K. Iyer (UT Dallas), AAAI 2021
"Graph Neural Network to Dilute Outliers for Refactoring Monolith Application", Utkarsh Desai (IBM Research Labs), Sambaran Bandyopadhyay (IBM Research Labs), Srikanth G Tamilselvm (IBM Research Labs), AAAI 2021
"HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection", Binny Mathew (Indian Institute Of Technology, Kharagpur, India), Punyajoy Saha (Indian Institute Of Technology, Kharagpur, India), Seid Muhie Yimam (Universität Hamburg, Germany), Chris Biemann (Universität Hamburg, Germany), Pawan Goyal (Indian Institute Of Technology, Kharagpur, India), Animesh Mukherjee (Indian Institute Of Technology, Kharagpur, India), AAAI 2021
"High-Dimensional Bayesian Optimization via Tree-Structured Additive Models", Eric Han (School Of Computing, National University Of Singapore), Ishank Arora (Indian Institute Of Technology (BHU) Varanasi), Jonathan Scarlett (School Of Computing, National University Of Singapore Department Of Mathematics & Institute Of Data Science, National University Of Singapore), AAAI 2021
"Model-agnostic fits for understanding information seeking patterns in humans", Soumya Chatterjee (Google Research India), Pradeep Shenoy (Google Research India), AAAI 2021
"More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation", Mauajama Firdaus (IIT Patna), Hardik Chauhan (IIT Patna), Asif Ekbal (IIT Patna), Pushpak Bhattacharyya (IIT Patna), AAAI 2021
"Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs", Tony Gracious (Indian Institute Of Science Bangalore), Shubham Gupta (Indian Institute Of Science Bangalore), Arun Kanthali (Indian Institute Of Science Bangalore), Rui M. Castro (Eindhoven University Of Technology), Ambedkar Dukkipati (Indian Institute Of Science Bangalore), AAAI 2021
"On Learning Deep Models with Imbalanced Data Distribution", Puspita Majumdar, Richa Singh, Mayank Vatsa (IIT Jodhpur), AAAI 2021
"Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone", Sandeep Kumar (Shaheed Bhagat Singh College, University Of Delhi, Delhi, India Indraprastha Institute Of Information Technology, New Delhi, India), Koushik Biswas (Indraprastha Institute Of Information Technology, New Delhi, India), Ashish Kumar Pandey (Indraprastha Institute Of Information Technology, New Delhi, India), AAAI 2021
"Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach", Ramit Sawhney (IIIT Delhi), Shivam Agarwal (Manipal Institute Of Technology), Arnav Wadhwa (MIDAS@IIITD), Tyler Derr (Vanderbilt University), Rajiv Ratn Shah (IIIT Delhi), AAAI 2021
"Symmetric Component Caching for Model Counting on Combinatorial Instances", Timothy Van Bremen (KU Leuven), Vincent Derkinderen (KU Leuven), Shubham Sharma (Nutanix Software India Pvt. Ltd.), Subhajit Roy (Indian Institute Of Technology Kanpur), Kuldeep S. Meel (National University Of Singapore), AAAI 2021
"The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT.", Madhura Pande (IIT Madras), Aakriti Budhraja (IIT Madras), Preksha Nema (IIT Madras), Pratyush Kumar (IIT Madras), and Mitesh M. Khapra (IIT Madras), AAAI 2021
"Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery", Sai Krishna Gottipati (99andBeyond), Yashaswi Pathak (International Institute Of Information Technology, Hyderabad), Boris Sattarov (99andBeyond), Sahir (Department Of Computing Science, University Of Alberta), Rohan Nuttall (Department Of Computing Science, University Of Alberta), Mohammad Amini (99andBeyond), Matthew E. Taylor (Department Of Computing Science, University Of Alberta Alberta Machine Intelligence Institute (Amii) Canada CIFAR AI Chair), Sarath Chandar (Mila - Quebec AI Institute Canada CIFAR AI Chair Ecole Polytechnique Montreal), AAAI 2021
"VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving", Chandan Kumar (Mercedes-Benz Research And Development India), Jayanth Ramesh (Mercedes-Benz Research And Development India), Bodhisattwa Chakraborty (Mercedes-Benz Research And Development India), Renjith Raman (Mercedes-Benz Research And Development India), Christoph Weinrich (Robert Bosch GmbH, Germany), Anurag Mundhada (Axogyan AI, Bangalore), Arjun Jain (Indian Institute Of Science,Bangalore, India Axogyan AI, India), Fabian B. Flohr (Mercedes-Benz AG, Stuttgart, Germany.), AAAI 2021
"A Multi-Arm Bandit Approach To Subset Selection Under Constraints", Ayush Deva (International Institute Of Information Technology Hyderabad, Hyderabad, India), Kumar Abhishek (International Institute Of Information Technology Hyderabad, Hyderabad, India), Sujit Gujar (International Institute Of Information Technology Hyderabad, Hyderabad, India), AAMAS 2021
"Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway", Alok Talekar (Google Research India), Sharad Shriram (IISc, Bangalore), Nidhin Vaidhiyan (IISc, Bangalore), Gaurav Aggarwal (Google Research India), Jiangzhuo Chen (University Of Virginia), Srini Venkatramanan (University Of Virginia), Lijing Wang (University Of Virgina), Aniruddha Adiga (University Of Virginia), Adam Sadilek (Google), Ashish Tendulkar (Google Research India), Madhav Marathe (University Of Virginia), Rajesh Sundaresan (IISc, Bangalore), Milind Tambe (Google Research India), AAMAS 2021
"Committee Selection using Attribute Approvals", Venkateswara Rao Kagita (National Institute Of Technology, Warangal, India), Arun K Pujari (Mahindra University, Hyderabad, India), Vineet Padmanabhan (University Of Hyderabad, Hyderabad, India), Haris Aziz (University Of New South Wales, Sydney, NSW, Australia), Vikas Kumar (University Of Delhi & Central University Of Rajasthan, Delhi, India), AAMAS 2021
"Existence and Computation of Maximin Fair Allocations Under Matroid-Rank Valuations", Siddharth Barman (Indian Institute Of Science, Bangalore, India), Paritosh Verma (Indian Institute Of Science, Bangalore, India), AAMAS 2021
"Group Fairness for Knapsack Problems", Deval Patel (Indian Institute Of Science, Banglore, India), Arindam Khan (Indian Institute Of Science, Banglore, India), Anand Louis (Indian Institute Of Science, Banglore, India), AAMAS 2021
"Learning Index Policies for Restless Bandits with Application to Maternal Healthcare", Arpita Biswas (Google Research, Bangalore, India), Gaurav Aggarwal (Google Research, Bangalore, India), Pradeep Reddy Varakantham (Google Research, Bangalore, India), Milind Shashikant Tambe (Google Research, Bangalore, India), AAMAS 2021
"Network Robustness via Global k-cores", Palash Dey (Indian Institute Of Technology, Kharagpur, Kharagpur, India), Suman Kalyan Maity (Northwestern University, Boston, MA, USA), Sourav Medya (Northwestern University, Boston, MA, USA), Arlei Silva (University Of California, Santa Barbara, Santa Barbara, CA, USA), AAMAS 2021
"Partition Aggregation for Participatory Budgeting", Pallavi Jain (Indian Institute Of Technology Jodhpur, Jodhpur, India), Nimrod Talmon (Ben-Gurion University Of The Negev, Be`er Sheva, Israel), Laurent Bulteau (LIGM, CNRS, Univ Gustave Eiffel, Marne-la-Vallee, France), AAMAS 2021
"Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.", Venugopal, A. (IIT Madras), Bondi, E. (Harvard University), Kamarthi, H. (Georgia Tech.), Dholakia, K. (IIT Madras), Ravindran, B. (IIT Madras), and Tambe, M. (Harvard University), AAMAS 2021
"Sample Efficient Ensemble Reinforcement Learning.", Saphal, R. (IIT Madras), Ravindran, B. (IIT Madras), Mudigere, D. (Facebook), Avancha, S. (Intel India), and Kaul, B. (Intel India), AAMAS 2021
"Sequential Ski Rental Problem", Anant Shah (IIT Madras) and Arun Rajkumar (IIT Madras), AAMAS 2021
"Symbolic Reinforcement Learning for Safe RAN Control", Alexandros Nikou (Ericsson Research, Stockholm, Sweden), Anusha Mujumdar (Ericsson Research, Bangalore, India), Marin Orlić (Ericsson Research, Stockholm, Sweden), Aneta Vulgarakis Feljan (Ericsson Research, Stockholm, Sweden), AAMAS 2021
"To hold or not to hold? - Reducing Passenger Missed Connections in Airlines using Reinforcement Learning", Tejasvi Malladi (TCS Research, Chennai, India), Karpagam Murugappan (TCS Research, Chennai, India), Depak Sudarsanam (TCS Research, Chennai, India), Ramasubramanian Suriyanarayanan (TCS Research, Chennai, India), Arunchandar Vasan (TCS Research, Chennai, India), AAMAS 2021
"We might walk together, but I run faster: Network Fairness and Scalability in Blockchains", Anurag Jain (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Shoeb Siddiqui (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Sujit Gujar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), AAMAS 2021
"Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights", Devaraja Adiga (IIT Bombay), Rishabh Kumar (IIT Bombay), Amrith Krishna (University Of Cambridge, UK), Preethi Jyothi (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), Pawan Goyal (IIT Kharagpur), ACL 2021
"Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.", Dinesh Raghu (IIT Delhi), Atishya Jain (IIT Delhi), Mausam (IIT Delhi), and Sachindra Joshi (IBM Research India), ACL 2021
"Explanations for CommonSenseQA: New Dataset and Models", Shourya Aggarwal (IIT Delhi), Divyanshu Mandowara (IIT Delhi), Vishwajeet Agrawal (IIT Delhi), Dinesh Khandelwal (IBM Research AI, India), Parag Singla (IIT Delhi) and Dinesh Garg (IBM Research AI, India), ACL 2021
"Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study", Yash Khemchandani (IIT Bombay), Sarvesh Mehtani (IIT Bombay), Vaidehi Patil (IIT Bombay), Abhijeet Awasthi (IIT Bombay), Partha Talukdar (Google Research India) and Sunita Sarawagi (IIT Bombay), ACL 2021
"FrameNet-Assisted Noun Compound Interpretation", Girishkumar Ponkiya (IIT Bombay), Diptesh Kanojia (Univerity of Surrey), Pushpak Bhattacharyya (IIT Bombay) and Girish Palshikar (TCS Research India), ACL 2021
"ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation", Vijit Malik (IIT Kanpur), Rishabh Sanjay (IIT Kanpur), Shubham Kumar Nigam (IIT Kanpur), Kripa Ghosh (IISER Kolkata), Shouvik Kumar Guha (WBNUJS), Arnab Bhattacharya (IIT Kanpur), Ashutosh Modi (IIT Kanpur), ACL 2021
"Learning Contextualized Knowledge Structures for Commonsense Reasoning", Jun Yan (University Of Southern California), Mrigank Raman (IIT Delhi), Aaron Chan (University Of Southern California), Tianyu Zhang (Tsinghua University), Ryan Rossi (Adobe Research), Handong Zhao (Adobe Research), Sungchul Kim (Adobe Research), Nedim Lipka (Adobe Research), Xiang Ren (University Of Southern California), ACL 2021
"MergeDistill: Merging Language Models using Pre-trained Distillation", Simran Khanuja (Google Research India), Melvin Johnson (Google Research USA) and Partha Talukdar (Google Research India), ACL 2021
"More Parameters? No Thanks!", Zeeshan Khan (IIIT Hyderabad), Kartheek Akella (IIIT Hyderabad), Vinay P. Namboodiri (University Of Bath), C.V. Jawahar (IIIT Hyderabad), ACL 2021
"Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction", Sriram Pingali (Indian Institute Of Technology Patna), Shweta Yadav (Indian Institute Of Technology Patna), Pratik Dutta (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), ACL 2021
"OKGIT: Open Knowledge Graph Link Prediction with Implicit Types", Chandrahas (IISc) and Partha Talukdar (IISc), ACL 2021
"Question Answering over Temporal Knowledge Graphs", Apoorv Saxena (IISc), Soumen Chakrabarti (IIT Bombay) and Partha Talukdar (Google Research India), ACL 2021
"Reordering Examples Helps during Priming-based Few-shot Learning", Sawan Kumar (IISc) and Partha Talukdar (IISc), ACL 2021
"Semi-Supervised Data Programming with Subset Selection", Ayush Maheshwari (IIT Bombay), Oishik Chatterjee (IIT Bombay), Krishnateja Killamsetty (University Of Texas At Dallas), Ganesh Ramakrishnan (IIT Bombay), Rishabh Iyer (University Of Texas At Dallas), ACL 2021
"TweeNLP: A Twitter Exploration Portal for Natural Language Processing", Viraj Shah (Indian Institute Of Technology Gandhinagar), Shruti Singh (Indian Institute Of Technology Gandhinagar), Mayank Singh (Indian Institute Of Technology Gandhinagar), ACL 2021
"ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation", Kaushal Kumar Maurya (IIT Hyderabad), Maunendra Sankar Desarkar (IIT Hyderabad), Yoshinobu Kano (Shizuoka University, Japan), Kumari Deepshikha (NVIDIA, India), ACL 2021
"Fingerspelling Recognition in the Wild with Fixed-Query based Visual Attention", Srinivas Kruthiventi S S (Harman International India Pvt. Ltd., Bangalore, India), George Jose (Harman International India Pvt. Ltd., Bangalore, India), Nitya Tandon (Harman International India Pvt. Ltd., Bangalore, India), Rajesh Biswal (Harman International India Pvt. Ltd., Bangalore, India), Aashish Kumar (Harman International India Pvt. Ltd., Bangalore, India), ACM Multimedia 2021
"Learning Multi-context Aware Location Representations from Large-scale Geotagged Images", Yifang Yin (National University Of Singapore, Singapore, Singapore), Ying Zhang (Northwestern Polytechnical University, Xi`an, China), Zhenguang Liu (Zhejiang Gongshang University, Hangzhou, China), Yuxuan Liang (National University Of Singapore, Singapore, Singapore), Sheng Wang (Alibaba Group, Singapore, Singapore), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology Delhi, Delhi, India), R. Zimmermann (National University Of Singapore, Singapore, Singapore), ACM Multimedia 2021
"MeronymNet: A Hierarchical Model for Unified and Controllable Multi-Category Object Generation", Rishabh Baghel (IIIT Hyderabad), Abhishek Trivedi (IIIT Hyderabad), Tejas Ravichandran (IIIT Hyderabad), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), ACM Multimedia 2021
"VmAP: A Fair Metric for Video Object Detection", Anupam Sobti (Indian Institute Of Technology Delhi, New Delhi, India), Vaibhav Mavi (Indian Institute Of Technology Delhi, New Delhi, India), Meenakshi Balakrishnan (Indian Institute Of Technology Delhi, New Delhi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), ACM Multimedia 2021
"Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting", Sravya Vardhani Shivapuja (IIIT Hyderabad), Mansi Pradeep Khamkar (IIIT Hyderabad), Divij Bajaj (IIIT Hyderabad), Ganesh Ramakrishnan (IIT Bombay), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), ACM Multimedia 2021
"Efficient Feature Transformations for Discriminative and Generative Continual Learning", Vinay Verma (Duke U.), Kevin Liang (Duke U. and Facebook AI), Nikhil Mehta (Duke U.), Lawrence Carin (Duke U.), and Piyush Rai (IIT Kanpur), CVPR 2021
"Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network", Aupendu Kar (Indian Institute Of Technology, Kharagpur, WB, India,), Prabir Kumar Biswas (Indian Institute Of Technology, Kharagpur, WB, India,), CVPR 2021
"Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections", Prashant Pandey (IIT Delhi), Mrigank Raman (IIT Delhi), Sumanth Varambally (IIT Delhi), and Prathosh A. P. (IIT Delhi), CVPR 2021
"Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control", Jingfan Guo (University Of Minnesota,), Jie Li (University Of Minnesota,), Rahul Narain (Indian Institute Of Technology Delhi,), Hyun Soo Park (University Of Minnesota,), CVPR 2021
"Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting", K Ram Prabhakar (Indian Institute Of Science, Bangalore,), Gowtham Senthil (Indian Institute Of Science, Bangalore, Indian Institute Of Technology Tirupati,), Susmit Agrawal (Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore,), Rama Krishna Sai S Gorthi (Indian Institute Of Technology Tirupati,), CVPR 2021
"LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization", Avisek Lahiri (Google Research, Indian Institute Of Technology Kharagpur,), Vivek Kwatra (Google Research,), Christian Frueh (Google Research,), John Lewis (Google Research,), Chris Bregler (Google Research,), CVPR 2021
"Rectification-based Knowledge Retention for Continual Learning", Pravendra Singh (Independent), Pratik Mazumder (IIT Kanpur), Vinay Namboodiri (University of Bath, UK), and Piyush Rai (IIT Kanpur), CVPR 2021
"Semi-Supervised Action Recognition with Temporal Contrastive Learning", Ankit Singh (IIT Madras), Omprakash Chakraborty (IIT Kharagpur), Ashutosh Varshney (IIT Kharagpur), Rameswar Panda (MIT-IBM Watson AI Lab), Rogerio Feris (MIT-IBM Watson AI Lab), Kate Saenko (Boston University And MIT-IBM Watson AI Lab), Abir Das (IIT Kharagpur), CVPR 2021
"Towards Open World Object Detection", K J Joseph (Indian Institute Of Technology Hyderabad, India, Mohamed Bin Zayed University Of AI, UAE,), Salman Khan (Mohamed Bin Zayed University Of AI, UAE, Australian National University, Australia,), Fahad Shahbaz Khan (Mohamed Bin Zayed University Of AI, UAE, Linköping University, Sweden,), Vineeth N Balasubramanian (Indian Institute Of Technology Hyderabad, India,), CVPR 2021
"Towards Open-World Object Detection", Joseph K J (IIT-Hyderabad/MBZUAI), Salman Khan (MBZUAI (UAE)), Fahad Khan (MBZUAI (UAE)), Vineeth N Balasubramanian (IIT-Hyderabad), CVPR 2021
"Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder’s Model", Aupendu Kar (Indian Institute Of Technology Kharagpur, WB, India,), Sobhan Kanti Dhara (Indian Institute Of Technology Kharagpur, WB, India,), Debashis Sen (Indian Institute Of Technology Kharagpur, WB, India,), Prabir Kumar Biswas (Indian Institute Of Technology Kharagpur, WB, India,), CVPR 2021
"RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction", Harsha Kokel (Univ. Of Texas Dallas), Arjun Manoharan (IIT Madras), Sriraam Natarajan (Univ. Of Texas Dallas), Balaraman Ravindran (IIT Madras), Prasad Tadepalli (Oregon State Univ.), ICAPS 2021
"Deep Implicit Surface Point Prediction Networks", Rahul Venkatesh (Carnegie Mellon University, Pittsburgh, PA, USA,), Tejan Karmali (Indian Institute Of Science, Bengaluru, India,), Sarthak Sharma (Verisk Analytics, Jersey City, NJ, USA,), Aurobrata Ghosh (Verisk Analytics, Jersey City, NJ, USA,), R. Venkatesh Babu (Indian Institute Of Science, Bengaluru, India,), Lászlό A. Jeni (Carnegie Mellon University, Pittsburgh, PA, USA,), Maneesh Singh (Verisk Analytics, Jersey City, NJ, USA,), ICCV 2021
"Exploring Long Tail Visual Relationship Recognition with Large Vocabulary", Sherif Abdelkarim (King Abdullah University Of Science And Technology (KAUST),), Aniket Agarwal (King Abdullah University Of Science And Technology (KAUST), IIT Roorkee,), Panos Achlioptas (Stanford University,), Jun Chen (King Abdullah University Of Science And Technology (KAUST),), Jiaji Huang (Baidu,), Boyang Li (NTU Singapore,), Kenneth Church (Baidu,), Mohamed Elhoseiny (King Abdullah University Of Science And Technology (KAUST),), ICCV 2021
"Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation", Jogendra Nath Kundu (Indian Institute Of Science, Bangalore,), Akshay Kulkarni (Indian Institute Of Science, Bangalore,), Amit Singh (Indian Institute Of Science, Bangalore,), Varun Jampani (Google Research,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore,), ICCV 2021
"Gravity-Aware Monocular 3D Human-Object Reconstruction", Rishabh Dabral (IIT, Bombay, MPI For Informatics, SIC,), Soshi Shimada (MPI For Informatics, SIC,), Arjun Jain (IISc, Bangalore, Fast Code AI,), Christian Theobalt (MPI For Informatics, SIC,), Vladislav Golyanik (MPI For Informatics, SIC,), ICCV 2021
"Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents", Shivansh Patel (Simon Fraser University,), Saim Wani (IIT Kanpur,), Unnat Jain (UIUC,), Alexander Schwing (UIUC,), Svetlana Lazebnik (UIUC,), Manolis Savva (Simon Fraser University,), Angel X. Chang (Simon Fraser University,), ICCV 2021
"LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning", Bhavya Vasudeva (Indian Statistical Institute, Kolkata, India,), Puneesh Deora (Indian Statistical Institute, Kolkata, India,), Saumik Bhattacharya (Indian Institute Of Technology, Kharagpur, India,), Umapada Pal (Indian Statistical Institute, Kolkata, India,), Sukalpa Chanda (Østfold University College, Halden, Norway,), ICCV 2021
"MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?", Matteo Fabbri (University Of Modena And Reggio Emilia, Italy, GoatAI S.r.l.,), Guillem Brasó (Technical University Of Munich, Germany,), Gianluca Maugeri (University Of Modena And Reggio Emilia, Italy,), Orcun Cetintas (Technical University Of Munich, Germany,), Riccardo Gasparini (University Of Modena And Reggio Emilia, Italy, GoatAI S.r.l.,), Aljoša Ošep (Technical University Of Munich, Germany,), Simone Calderara (University Of Modena And Reggio Emilia, Italy,), Laura Leal-Taixé (Technical University Of Munich, Germany,), Rita Cucchiara (University Of Modena And Reggio Emilia, Italy,), ICCV 2021
"S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation", Harsh Rangwani (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), Arihant Jain (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), Sumukh K Aithal (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), R. Venkatesh Babu (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), ICCV 2021
"SemIE: Semantically-aware Image Extrapolation", Bholeshwar Khurana (IIT Kanpur, Adobe Research India,), Soumya Ranjan Dash (IIT Kanpur, Adobe Research India,), Abhishek Bhatia (IIT Kanpur, Adobe Research India,), Aniruddha Mahapatra (Adobe Research India,), Hrituraj Singh (Adobe Research India, Triomics,), Kuldeep Kulkarni (Adobe Research India,), ICCV 2021
"Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains", Soumava Paul (Indian Institute Of Technology, Kharagpur,), Titir Dutta (Indian Institute Of Science, Bangalore,), Soma Biswas (Indian Institute Of Science, Bangalore,), ICCV 2021
"V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal", B H Pawan Prasad (Samsung R&D Institute, Bangalore, India,), K S Green Rosh (Samsung R&D Institute, Bangalore, India,), R B Lokesh (Samsung R&D Institute, Bangalore, India,), Kaushik Mitra (IIT Madras, Chennai, India,), Sanjoy Chowdhury (Samsung R&D Institute, Bangalore, India,), ICCV 2021
"ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors", Ayush Chopra (Media Lab, Massachusetts Institute Of Technology,), Rishabh Jain (BITS Pilani,), Mayur Hemani (Media And Data Science Research Lab, Adobe,), Balaji Krishnamurthy (Media And Data Science Research Lab, Adobe,), ICCV 2021
"FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks", Manas Joshi (IIT Delhi), Arshdeep Singh (IIT Delhi), Sayan Ranu (IIT Delhi), Amitabha Bagchi (IIT Delhi), Priyank Karia (Swiggy), Puneet Kala (Swiggy), ICDE 2021
"Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter", Sarah Masud (IIIT-Delhi, New Delhi, India,), Subhabrata Dutta (Jadavpur University, Kolkata, India,), Sakshi Makkar (IIIT-Delhi, New Delhi, India,), Chhavi Jain (IIIT-Delhi, New Delhi, India,), Vikram Goyal (IIIT-Delhi, New Delhi, India,), Amitava Das (Wipro AI, Bangalore, India,), Tanmoy Chakraborty (IIIT-Delhi, New Delhi, India,), ICDE 2021
"Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains", Dhruv Sahnan (Dept. Of CSE, IIIT-Delhi, India,), Snehil Dahiya (Dept. Of CSE, IIIT-Delhi, India,), Vasu Goel (Dept. Of CSE, IIIT-Delhi, India,), Anil Bandhakavi (Logically, UK,), Tanmoy Chakraborty (Dept. Of CSE, IIIT-Delhi, India,), ICDM 2021
"Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions", Vibhor Gupta (TCS Research, New Delhi, India,), Jyoti Narwariya (TCS Research, New Delhi, India,), Pankaj Malhotra (TCS Research, New Delhi, India,), Lovekesh Vig (TCS Research, New Delhi, India,), Gautam Shroff (TCS Research, New Delhi, India,), ICDM 2021
"HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation", M Vijaikumar (Indian Institute Of Science, Bangalore, India,), Deepesh Hada (Indian Institute Of Science, Bangalore, India,), Shirish Shevade (Indian Institute Of Science, Bangalore, India,), ICDM 2021
"PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget", Dev Yashpal Sheth (Robert Bosch Centre For Data Science And AI, Indian Institute Of Technology Madras, Chennai, India,), Arun Rajkumar (Robert Bosch Centre For Data Science And AI, Indian Institute Of Technology Madras, Chennai, India,), ICDM 2021
"Learning a Latent Simplex in Input Sparsity Time", Ainesh Bakshi, (CMU), Chiranjib Bhattacharyya (IISc), Ravi Kannan (MSR India), David P. Woodruff (CMU), Samson Zhou (CMU), ICLR 2021
"Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation", Mrigank Raman (IIT Delhi), Aaron Chan (University Of Southern California), Siddhant Agarwal (University Of Southern California), Hansen Wang (University Of Southern California), Sungchul Kim (Adobe Research), Ryan Rossi (Adobe Research), Handong Zhao (Adobe Research), Nedim Lipka (Adobe Research), ICLR 2021
"Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces.", Yatin Nandwani (IIT Delhi), Deepanshu Jindal (IIT Delhi), Mausam (IIT Delhi) and Parag Singla (IIT Delhi), ICLR 2021
"No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks", Shyamgopal Karthik (IIIT Hyderabad), Ameya Prabhu (University Of Oxford), Puneet Dokania (University Of Oxford), Vineet Gandhi (IIIT Hyderabad), ICLR 2021
"Adversarial Dueling Bandits", Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Tomer Koren (Tel Aviv University and Google), and Yishay Mansour (Google and Tel Aviv University), ICML 2021
"Bayesian Structural Adaptation for Continual Learning", Abhishek Kumar (IIT Kanpur), Sunabha Chatterjee (IIT Kanpur), and Piyush Rai (IIT Kanpur), ICML 2021
"Confidence-Budget Matching for Sequential Budgeted Learning", Yonathan Efroni (Technion), Nadav Merlis (Technion), Aadirupa Saha (IISc), and Shie Mannor (Technion), ICML 2021
"Domain Generalization using Causal Matching", Divyat Mahajan (Microsoft Research India), Shruti Tople (Microsoft Research UK), and Amit Sharma (Microsoft Research India), ICML 2021
"Dueling Convex Optimization", Aadirupa Saha (IISc), Tomer Koren (Tel Aviv University and Google), and Yishay Mansour (Google and Tel Aviv University), ICML 2021
"Finding k in Latent k- polytope", Chiranjib Bhattacharyya (Indian Institute of Science), Ravindran Kannan (Microsoft Research India), and Amit Kumar (IIT Delhi), ICML 2021
"Fixed-Parameter and Approximation Algorithms for PCA with Outliers", Yogesh Dahiya (The Institute of Mathematical Sciences (HBNI), Chennai, India), Fedor Fomin (University of Bergen), Kirill Simonov (University of Bergen), and Fahad Panolan (IIT Hyderabad), ICML 2021
"Grad-Match: A Gradient Matching based Data Subset Selection for Efficient Learning", Krishnateja Killamsetty ( UT Dallas), Durga S (IIT Bombay), Baharan Mirzasoleiman (Stanford University), Ganesh Ramakrishnan (IIT Bombay), Abir De (IIT Bombay), and Rishabh Iyer (UT Dallas), ICML 2021
"On Characterizing GAN Convergence Through Proximal Duality Gap", Sahil Sidheekh (IIT Ropar), Aroof Aimen (IIT Ropar), and Narayanan Chatapuram Krishnan (IIT Ropar), ICML 2021
"On the Problem of Underranking in Group-Fair Ranking", Sruthi Gorantla (IISc), Amit Jayant Deshpande (Microsoft Research India), and Anand Louis (IISc), ICML 2021
"Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics", Avik Pal (IIT Kanpur), Yingbo Ma (Julia Computing), Viral Shah (Julia Computing), and Christopher Rackauckas (MIT), ICML 2021
"Optimal regret algorithm for Pseudo-1d Bandit Convex Optimizationrch), Prateek Jain (Google Research)", Aadirupa Saha (Microsoft Research, New York City), Nagarajan Natarajan (Microsoft Research, India), Praneeth Netrapalli (Microsoft Research, India), and Prateek Jain (Microsoft Research, India), ICML 2021
"RRL: Resnet as representation for Reinforcement Learning", Rutav Shah (IIT Kharagpur) and Vikash Kumar (Univ. Of Washington), ICML 2021
"SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels", Kunal Dahiya (IIT Delhi), Ananye Agarwal (IIT Delhi), Deepak Saini (Microsoft Research India), Gururaj K (Microsoft), Jian Jiao (Microsoft), Amit Singh (Microsoft), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research India), ICML 2021
"Training Data Subset Selection for Regression with Controlled Generalization Error", Durga S (IIT Bombay), Rishabh Iyer (University Of Texas At Dallas), Ganesh Ramakrishnan (IIT Bombay), Abir De (IIT Bombay), ICML 2021
"TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators.", Shreshth Tuli (IIT Delhi, Imperial College London), Rajas Bansal (IIT Delhi), Rohan Paul (IIT Delhi), and Mausam (IIT Delhi), IJCAI 2021
"Emotional Prosody Control for Speech Generation", Sarath Sivaprasad (IIIT Hyderabad), Saiteja Kosgi (IIIT Hyderabad), Vineet Gandhi (IIIT Hyderabad), Interspeech 2021
"Zero-Shot Federated Learning with New Classes for Audio Classification", Gautham Krishna Gudur (Ericsson R&D), Satheesh Kumar Perepu (Ericsson Research), Interspeech 2021
"Novelty Detection: An NLP Perspective", Tirthankar Ghosal (Institute Of Formal And Applied Linguistics Faculty Of Mathematics And Physics Charles University Prague, Czech Republic), Tanik Saikh (Department Of Computer Science And Engineering Indian Institute Of Technology Patna Patna, India), Tameesh Biswas (Department Of Computer Science And Engineering Indian Institute Of Technology Patna Patna, India), Asif Ekbal (Department Of Computer Science And Engineering Indian Institute Of Technology Patna Patna, India), Pushpak Bhattacharyya (Department Of Computer Science And Engineering Indian Institute Of Technology Bombay Powai, India), J. Computational Linguistics 2021
"On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points", C. Jin (UC Berkeley), P. Netrapalli (Microsoft Research India), R. Ge (Duke U.), S. M. Kakade (U. Washington) and M. I. Jordan (UC Berkeley), JACM 2021
"Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations", Vihari Piratla (IIT Bombay), Soumen Chakrabarti (IIT Bombay), and Sunita Sarawagi (IIT Bombay), NeurIPS 2021
"CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks", Sakshi Varshney (IIT Hyderabad), Vinay Kumar Verma (Duke University), P. K. Srijith (IIT Hyderabad), Lawrence Carin (KAUST), Piyush Rai (IIT Kanpur), NeurIPS 2021
"Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks", Sandesh Kamath (IIT-Hyderabad), Amit Deshpande (Microsoft Research India), K V Subrahmanyam (Chennai Mathematical Institute), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2021
"Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing", Aadarsh Sahoo (IIT Kharagpur), Rutav Shah (IIT Kharagpur), Rameswar Panda (MIT IBM-Watson AI Lab), Kate Saenko (Boston University And MIT IBM-Watson AI Lab), Abir Das (IIT Kharagpur), NeurIPS 2021
"Differentially Private Model Personalization", Abhradeep Guha Thakurta (Google Research), Adam Smith (Boston University), Keith Rush (Google Research), Prateek Jain (Google Research India), Shuang Song (Google Research), NeurIPS 2021
"Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach", Anindya Sarkar (IIT-Hyderabad), Anirban Sarkar (IIT-Hyderabad), Sowrya Gali (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2021
"LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes", Aditya Kusupati (University Of Washington), Ali Farhadi (University Of Washington), Jae Sung Park (University Of Washington), Krishna Pillutla (University Of Washington), Matthew Wallingford (University Of Washington), Prateek Jain (Google Research India), Raghav Somani (University Of Washington), Sham Kakade (University Of Washington), Vivek Ramanujan (University Of Washington), NeurIPS 2021
"Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems", Dheeraj Nagaraj (Google Research India), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), Suhas Kowshik (Dept Of EECS, MIT), NeurIPS 2021
"On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons", Vishnu Veerathu (Cohesity Inc.), and Arun Rajkumar (IIT Madras), NeurIPS 2021
"Optimal Best-Arm Identification Methods for Tail-Risk Measures", Shubhada Agrawal (TIFR, Mumbai), Wouter M. Koolen (CWI, Amsterdam), and Sandeep Juneja (TIFR, Mumbai), NeurIPS 2021
"Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems", Subhabrata Dutta (Jadavpur University), Tanya Gautam (IIIT Delhi), Soumen Chakrabarti (IIT Bombay), Tanmoy Chakraborty (IIIT Delhi), NeurIPS 2021
"Streaming Linear System Identification with Reverse Experience Replay", Dheeraj Nagaraj (Google Research India, MIT), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), Suhas Kowshik (MIT), NeurIPS 2021
"Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time", Anshul Nasery (IIT Bombay), Soumyadeep Thakur (IIT Bombay), Vihari Piratla (IIT Bombay), Abir De (IIT Bombay), and Sunita Sarawagi (IIT Bombay), NeurIPS 2021
"Missing Value Imputation on Multidimensional Time Series.", Parikshit Bansal (IIT Bombay), Prathamesh Deshpande (IIT Bombay) and Sunita Sarawagi (IIT Bombay), PVLDB 2021
"AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns", Deepanshi Seth (Games24x7, Mumbai, India), Rukma Talwadker (Games24x7.com, Mumbai, India), Tridib Mukherjee (Games24x7, Mumbai, India), Usama Chitapure (Games24x7, Mumbai, India), Nagesh Adiga (Games24x7), Avantika Gupta (Games24x7), SIGIR 2021
"Hyperbolic Online Time Stream Modeling", Ramit Sawhney (Indraprastha Institute Of Information Technology Delhi, Delhi, India), Shivam Agarwal (Manipal Institute Of Technology, Manipal, India), Megh Thakkar (BITS Pilani, Pilani, India), Arnav Wadhwa (Indraprastha Institute Of Information Technology Delhi, Delhi, India), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology Delhi, Delhi, India), SIGIR 2021
"Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality", Chinmay Rane (Normandie University & ABV-Indian Institute Of Information Technology And Management Gwalior, Gwalior, India), Gaël Harry Dias (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, Caen, France), Alexis Lechervy (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, Caen, France), Asif Ekbal (Indian Institute Of Technology Patna, Patna, India), SIGIR 2021
"Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization", Anubhav Jangra (Indian Institute Of Technology Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, India), Adam Jatowt (Kyoto University, Japan), Mohammed Hasanuzzaman (Cork Institute Of Technology, Ireland), SIGIR 2021
"NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns", Manish Chandra (Indian Institute Of Technology Kharagpur, Kharagpur, India), Debasis Ganguly (University Of Glasgow, Glasgow, Scotland Uk), Pabitra K Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, India), Bithika Pal (Indian Institute Of Technology Kharagpur, Kharagpur, India), James Thomas (University College London, London, United Kingdom), SIGIR 2021
"ReXPlug: Explainable Recommendation using Plug-and-Play Language Model", Deepesh V Hada (Indian Institute Of Science, Bangalore, Bangalore, India), Vijaikumar M (Indian Institute Of Science, Bangalore, Bangalore, India), Shirish Krishnaj Shevade (Indian Institute Of Science, Bangalore, Bangalore, India), SIGIR 2021
"Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering.", Aman Jain (IIT Bombay), Mayank Kothyari (IIT Bombay), Vishwajeet Kumar (IBM Research India), Preethi Jyothi (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), and Soumen Chakrabarti (IIT Bombay), SIGIR 2021
"Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach", Rajdeep Mukherjee (IIT Kharagpur, Kharagpur, India), Atharva Naik (IIT Kharagpur, Kharagpur, India), Sriyash Poddar (IIT Kharagpur, Kharagpur, India), Soham Dasgupta (MAIS Bangalore, Bangalore, India), Niloy Ganguly (IIT Kharagpur, Kharagpur, India), SIGIR 2021
"Diversity driven Query Rewriting in Search Advertising", Akash Kumar Mohankumar (IIT Madras), Nikit Begwani (Microsoft India), and Amit K Singh (Microsoft India), SIGKDD 2021
"Fast One-class Classification using Class Boundary-preserving Random Projections", Arindam Bhattacharya (IIT Delhi), Sumanth Varambally (IIT Delhi), Amitabha Bagchi (IIT Delhi), and Srikanta Bedathur (IIT Delhi), SIGKDD 2021
"Micro-climate Prediction - Multi scale encoder-decoder based deep learning framework", Peeyush Kumar (Microsoft Research, Redmond), Ranveer Chandra (Microsoft Research, Redmond), Chetan Bansal (Microsoft Research, Redmond), Shivkumar Kalyanaraman (Microsoft, India), and Tanuja Ganu (Microsoft Research, India), SIGKDD 2021
"Q-Learning Lagrange Policies for Multi-Action Restless Bandits", Jackson A. Killian (Harvard University), Arpita Biswas (Harvard University), Sanket Shah (Harvard University), Milind Tambe (Harvard University), SIGKDD 2021
"Semi-Supervised Deep Learning for Multiplex Networks", Mitra, A. (IIT Guwahati), Vijayan, P. (McGill), Sanasam, R. (IIT Guwahati), Goswami, D. (IIT Guwahati), Parthasarathy, S. (Ohio State Univ.), and Ravindran, B. (IIT Madras), SIGKDD 2021
"Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter", Snehil Dahiya (IIIT Delhi), Shalini Sharma (IIIT Delhi), Dhruv Sahnan (IIIT Delhi), Vasu Goel (IIIT Delhi), Angshul Majumdar (IIIT Delhi), Victor Elvira (University of Edinburgh), Emilie Chouzenoux (CentraleSuplec and Universit Paris-Est Marne la Valle), Anil Bandhakavi (Logically), and Tanmoy Chakraborty (IIIT Delhi), SIGKDD 2021
"Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing", Rajarshee Mitra ( Microsoft, India), Rhea Jain (Microsoft, India), Aditya Srikanth Veerubhotla (Microsoft, India), and Manish Gupta (Microsoft, India), SIGKDD 2021
"Shedding Light on Opaque Application Queries", Kapil Khurana (Indian Institute Of Science), Jayant R Haritsa (Indian Institute Of Science), SIGMOD 2021
"DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents", Kunal Dahiya (IIT Delhi), Deepak Saini (Microsoft), Anshul Mittal (IIT Delhi), Ankush Shaw (IIT Delhi), Kushal Dave (Microsoft), Akshay Soni (Microsoft), Himanshu Jain (IIT Delhi), Sumeet Agarwal (IIT Delhi), Manik Varma (Microsoft Research India), WSDM 2021
"HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification", Rahul Ragesh (Microsoft India), Sundararajan Sellamanickam (Microsoft Research Lab India), Arun Iyer (Microsoft Research Lab India), Ramakrishna Bairi (Microsoft Research Lab India), Vijay Lingam (Microsoft Research Lab India), WSDM 2021
"Long Horizon Forecasting with Temporal Point Processes", Prathamesh Deshpande (IIT Bombay), Kamlesh Marathe (IIT Bombay), Abir De (IIT Bombay), and Sunita Sarawagi (IIT Bombay), WSDM 2021
"Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions", Yanbo Xu (Georgia Institute Of Technology, Atlanta, GA, USA), Divyat Mahajan (Microsoft Research India, Bengaluru, India), Liz Manrao (Microsoft, Redmond, WA, USA), Amit Sharma (Microsoft Research India, Bengaluru, India), Emre Kıcıman (Microsoft Research AI, Redmond, WA, USA), WSDM 2021
"Towards Ordinal Suicide Ideation Detection on Social Media", Ramit Sawhney (IIIT Delhi, New Delhi, India), Harshit Joshi (University Of Delhi, New Delhi, India), Saumya Gandhi (Visvesvaraya National Institute Of Technology, Nagpur, India), Rajiv Ratn Shah (IIIT Delhi, New Delhi, India), WSDM 2021
"“Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups", Punyajoy Saha (Indian Institute Of Technology, Kharagpur, India), Binny Mathew (Indian Institute Of Technology, Kharagpur, India), Kiran Garimella (Massachusetts Institute Of Technology, USA), Animesh Mukherjee (Indian Institute Of Technology, Kharagpur, India), WWW 2021
"Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels", Mohammadreza Qaraei (Aalto University, Finland), Erik Schultheis (Aalto University, Finland), Priyanshu Gupta (Indian Institute Of Technology, Kanpur, India), Rohit Babbar (Aalto University, Finland), WWW 2021
"ECLARE: Extreme Classification with Label Graph Correlations", Anshul Mittal (IIT Delhi), Noveen Sachdeva (UC San Diego), Sheshansh Agrawal (Microsoft Research, India), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research, India), WWW 2021
"ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models", Azin Ghazimatin (Max Plank Institute For Informatics, Germany), Soumajit Pramanik (Indian Institute Of Technology Bhilai, India), Rishiraj Saha Roy (Max Planck Institute For Informatics, Germany), Gerhard Weikum (Max Planck Institute For Informatics, Germany), WWW 2021
"Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading", Ramit Sawhney (IIIT Delhi, India), Shivam Agarwal (Manipal Institute Of Technology, India), Arnav Wadhwa (MIDAS, IIIT Delhi, India), Rajiv Ratn Shah (IIIT Delhi, India), WWW 2021
"Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding", Nuno Mota (Max Planck Institute For Software Systems), Negar Mohammadi (Max Planck Institute For Software Systems), Palash Dey (IIT Kharagpur), Krishna P. Gummadi (Max Planck Institute For Software Systems), Abhijnan Chakraborty (IIT Delhi), WWW 2021
"Joint Spatio-Textual Reasoning for Answering Tourism Questions.", Danish Contractor (IBM Research Ai, India), Shashank Goel, Mausam and Parag Singla (IIT Delhi), WWW 2021
"MStream: Fast Anomaly Detection in Multi-Aspect Streams", Siddharth Bhatia (National University Of Singapore, Singapore), Arjit Jain (Indian Institute Of Technology, Bombay, India), Pan Li (Purdue University, USA), Ritesh Kumar (Indian Institute Of Technology, Kharagpur, India), Bryan Hooi (National University Of Singapore, Singapore), WWW 2021
"PARIMA: Viewport Adaptive 360-Degree Video Streaming", Lovish Chopra (Indian Institute Of Technology, Kharagpur, India), Sarthak Chakraborty (Indian Institute Of Technology, Kharagpur, India), Abhijit Mondal (Indian Institute Of Technology, India), Sandip Chakraborty (Indian Institute Of Technology, Kharagpur, India), WWW 2021
"RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network", Anson Bastos (Indian Institute Of Technology, Hyderabad And Zerotha Research, India), Abhishek Nadgeri (Zerotha Research And RWTH Aachen, Germany), Kuldeep Singh (Zerotha Research And Cerence GmbH, Germany), Isaiah Onando Mulang’ (Zerotha Research And Fraunhofer IAIS, Germany), Saeedeh Shekarpour (University Of Dayton, USA), Johannes Hoffart (Goldman Sachs, Germany), Manohar Kaul (Indian Institute Of Technology, Hyderabad, India), WWW 2021
"Sketch-based Algorithms for Approximate Shortest Paths in Road Networks", Gaurav Aggarwal (Google, India), Sreenivas Gollapudi (Google, USA), Raghavender (Google, India), Ali Kemal Sinop (Google, Turkey), WWW 2021
"A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids", Jain Shweta (Indian Institute Of Technology Ropar), Gujar Sujit (International Institute Of Information Technology Hyderabad), AAAI 2020
"Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules", Yashaswi Pathak (International Institute Of Information Technology Hyderabad), Siddhartha Laghuvarapu (International Institute Of Information Technology Hyderabad), Sarvesh Mehta (International Institute Of Information Technology Hyderabad), U. Deva Priyakumar (International Institute Of Information Technology Hyderabad), AAAI 2020
"Crisis-DIAS: Towards Multimodal Damage Analysis – Deployment, Challenges and Assessment", Mansi Agarwal (Delhi Technological University), Maitree Leekha (Delhi Technological University), Ramit Sawhney (Netaji Subhas Institute Of Technology), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology), AAAI 2020
"Deep Attentive Ranking Networks for Learning to Order Sentences", Pawan Kumar (IIT Kanpur), Dhanajit Brahma (IIT Kanpur), Harish Karnick (IIT Kanpur), Piyush Rai (IIT Kanpur), AAAI 2020
"Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals", Mononito Goswami (Delhi Technological University), Lujie Chen (Carnegie Mellon University), Artur Dubrawski (Carnegie Mellon University), AAAI 2020
"Exploratory Navigation and Selective Reading", Natwar Modani (Adobe Research), Paridhi Maheshwari (Adobe Research), Harsh Deshpande (Indian Institute Of Technology, Bombay), Saurab Sirpurkar (Indian Institute Of Technology, Madras), Diviya . (Indian Institute Of Technology, Roorkee), Somak Aditya (Adobe Research), AAAI 2020
"Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism", Prashant Pandey (IIT Delhi), Prathosh AP (IIT Delhi), Manu Kohli (IIT Delhi), and Josh Pritchard (Florida Institute of Technology), AAAI 2020
"Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition", Yaman Kumar (Adobe), Dhruva Sahrawat (NUS), Shubham Maheshwari (IIIT-Delhi), Debanjan Mahata (Bloomberg), Amanda Stent (Bloomberg), Yifang Yin (NUS), Rajiv Ratn Shah (IIIT-Delhi), Roger Zimmermann (NUS), AAAI 2020
"Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives", Shivang Chopra (Delhi Technological University), Ramit Sawhney (Netaji Subhas Institute Of Technology), Puneet Mathur (University Of Maryland College Park), Rajiv Ratn Shah (IIIT-Delhi), AAAI 2020
"Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations", Gourab K. Patro (IIT Kharagpur), Abhijnan Chakraborty (MPI-SWS), Niloy Ganguly (IIT Kharagpur), Krishna Gummadi (MPI-SWS), AAAI 2020
"Manipulating Districts to Win Elections: Fine-Grained Complexity", Eduard Eiben (University Of London), Fedor Fomin (University Of Bergen), Fahad Panolan (IIT Hyderabad), Kirill Simonov (University Of Bergen), AAAI 2020
"Meta-Learning for Generalized Zero-Shot Learning", Vinay Kumar Verma (IIT Kanpur), Dhanajit Brahma (IIT Kanpur), Piyush Rai (IIT Kanpur), AAAI 2020
"Model AI Assignments 2020", Todd W. Neller (Gettysburg College), Stephen Keeley (Princeton University), Michael Guerzhoy (Princeton University, University Of Toronto, Li Ka Shing Knowledge Institute), Wolfgang Hoenig (California Institute Of Technology), Jiaoyang Li (University Of Southern California), Sven Koenig (University Of Southern California), Ameet Soni (Swarthmore College), Krista Thomason (Swarthmore College), Lisa Zhang (University Of Toronto), Bibin Sebastian (University Of Toronto), Cinjon Resnick (New York University), Avital Oliver (Google), Surya Bhupatiraju (Massachusetts Institute Of Technology), Kumar Krishna Agrawal (Indian Institute Of Technology, Kharagpur), James Allingham (University Of Cambridge), Sejong Yoon (The College Of New Jersey), Jonathan Chen (Washington University In St. Louis), Tom Larsen (Washington University In St. Louis), Marion Neumann (Washington University In St. Louis), Narges Norouzi (University Of California, Santa Cruz), AAAI 2020
"ODSS: Efficient Hybridization for Optimal Coalition Structure Generation", Narayan Changder (National Institute Of Technology Durgapur), Samir Aknine (Lyon 1 University), Sarvapali Ramchurn (University Of Southampton), Animesh Dutta (National Institute Of Technology Durgapur), AAAI 2020
"On Adaptivity in Information-Constrained Online Learning", Siddharth Mitra (Chennai Mathematical Institute), Aditya Gopalan (Indian Institute Of Science), AAAI 2020
"On the Robustness of Face Recognition Algorithms Against Attacks and Bias", Richa Singh (IIT Jodhpur), Akshay Agarwal (IIIT Delhi), Maneet Singh (IIIT Delhi), Shruti Nagpal (IIIT Delhi), Mayank Vatsa (IIT Jodhpur), AAAI 2020
"Online Active Learning of Reject Option Classifiers", Kulin Shah (International Institute Of Information Technology Hyderabad), Naresh Manwani (International Institute Of Information Technology Hyderabad), AAAI 2020
"P-SIF: Document Embeddings Using Partition Averaging", Vivek Gupta (University Of Utah), Ankit Saw (InfoEdge (India) Ltd.), Pegah Nokhiz (University Of Utah), Praneeth Netrapalli (Microsoft Research Lab, Bangalore), Piyush Rai (Computer Science Department, IIT Kanpur), Partha Talukdar (Indian Institute Of Science, Bangalore), AAAI 2020
"Regression under Human Assistance", Abir De (MPI-SWS), Paramita Koley (IIT Kharagpur), Niloy Ganguly (IIT Kharagpur), Manuel Gomez-Rodriguez (MPI-SWS), AAAI 2020
"Semi-Supervised Learning to Perceive Children’s Affective States in a Tablet Tutor", Mansi Agarwal (Delhi Technological University), Jack Mostow (Carnegie Mellon University), AAAI 2020
"Translucent Answer Predictions in Multi-Hop Reading Comprehension", G P Shrivatsa Bhargav (IISc, Bangalore), Michael Glass (IBM Research AI), Dinesh Garg (IBM Research AI), Shirish Shevade (IISc, Bangalore), Saswati Dana (IBM Research AI), Dinesh Khandelwal (IBM Research AI), L Venkata Subramaniam (IBM Research AI), Alfio Gliozzo (IBM Research AI), AAAI 2020
"A Bridge between Polynomial Optimization and Games with Imperfect Recall", Hugo Gimbert (CNRS, LaBRI, Université De Bordeaux, Talence, France), Soumyajit Paul (LaBRI, Université De Bordeaux, Talence, France), B Srivathsan (Chennai Mathematical Institute, Chennai, India), AAMAS 2020
"Algorithms for Swap and Shift Bribery in Structured Elections", Edith Elkind (University Of Oxford, Oxford, United Kingdom), Piotr Faliszewski (AGH University, Kraków, Poland), Sushmita Gupta (National Institute Of Science Education And Research, Bhubaneswer, India), Sanjukta Roy (The Institute Of Mathematical Sciences, HBNI, Chennai, India), AAMAS 2020
"Capturing Oracle Guided Hiders", Akshat Tandon (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Kamalakar Karlapalem (International Institute Of Information Technology, Hyderabad, Hyderabad, India), AAMAS 2020
"Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling", Harshavardhan Kamarthi (Indian Institute Of Technology Madras, Chennai, India), Priyesh Vijayan (McGill University And Mila, Montreal, PQ, Canada), Bryan Wilder (Harvard University, Cambridge, MA, USA), Balaraman Ravindran (Indian Institute Of Technology Madras, Chennai, India), Milind Shashikant Tambe (Harvard University, Cambridge, MA, USA), AAMAS 2020
"Manipulating Node Similarity Measures in Networks", Palash Dey (Indian Institute Of Technology, Kharagpur, India), Sourav Medya (Northwestern University, Evanston, IL, USA), AAMAS 2020
"Minimizing Margin of Victory for Fair Political and Educational Districting", Ana Andreea Stoica (Columbia University, New York, NY, USA), Abhijnan Chakraborty (Max Planck Institute For Software Systems, Saarbrucken, Germany), Palash Dey (Indian Institute Of Technology, Kharagpur, India), Krishna Phani Gummadi (Max Planck Institute For Software Systems, Saarbrucken, Germany), AAMAS 2020
"Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty", Hanching Ou (Harvard University, Cambridge, MA, USA), Arunesh Sinha (Singapore Management University, Singapore, UNK, Singapore), Sze Chuan Suen (University Of Southern California, Los Angeles, CA, USA), Andrew Perrault (Harvard University, Cambridge, MA, USA), Alpan Raval (Wadhwani AI, Mumbai, UNK, India), Milind Shashikant Tambe (Harvard University, Cambridge, MA, USA), AAMAS 2020
"Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification", Pratik Dutta (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), ACL 2020
"Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis.", D. Chauhan (IIT Patna), R. Dhanush (IIT Patna), Asif Ekbal (IIT Patna), P. Bhattacharyya (IIT Patna), ACL 2020
"Towards Emotion-aided Multi-modal Dialogue Act Classification", Tulika Saha (IIT Patna), Aditya Patra (IIT Patna), Sriparna Saha (IIT Patna), Pushpak Bhattacharyya (IIT Patna And IIT Bombay), ACL 2020
"A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", K R Prajwal (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Rudrabha Mukhopadhyay (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Vinay P Namboodiri (University Of Bath, Bath, United Kingdom), C V Jawahar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), ACM Multimedia 2020
"Concept Drift Detection for Multivariate Data Streams and Temporal Segmentation of Daylong Egocentric Videos", Pravin Nagar (IIIT Delhi), Mansi Khemka (Columbia University), Chetan Arora (IIT Delhi), ACM Multimedia 2020
"Fashionist: Personalising Outfit Recommendation for Cold-Start Scenarios", Dhruv Verma (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Kshitij Gulati (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Vasu Goel (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), ACM Multimedia 2020
"Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation", Omkar Gune (Indian Institute Of Technology Bombay, Mumbai, India), Biplab Banerjee (Indian Institute Of Technology Bombay, Mumbai, India), Subhasis Chaudhuri (Indian Institute Of Technology Bombay, Mumbai, India), F. Cuzzolin (Oxford Brookes University, London, United Kingdom), ACM Multimedia 2020
"INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition", Advaith Sridhar (IIT Madras, Chennai, India), Rohith Gandhi Ganesan (IIT Madras, Chennai, India), Pratyush Kumar (IIT Madras, Chennai, India), Mitesh M Khapra (IIT Madras, Chennai, India), ACM Multimedia 2020
"Large Scale Hierarchical Anomaly Detection and Temporal Localization", Soumil Kanwal (Indian Institute Of Technology Ropar, Ropar, India), Vineet Mehta (Indian Institute Of Technology Ropar, Ropar, India), Abhinav Dhall (Monash University & Indian Institute Of Technology Ropar, City Of Monash, Australia), ACM Multimedia 2020
"LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos", Sai Praneeth Sunkesula (Indian Institute Of Technology, Bombay, Mumbai, India), Rishabh Dabral (Indian Institute Of Technology, Bombay, Mumbai, India), Ganesh Ramakrishnan (Indian Institute Of Technology, Bombay, Mumbai, India), ACM Multimedia 2020
"MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos", Murari Mandal (Malaviya National Institute Of Technology Jaipur, Jaipur, India), Lav Kush Kumar (Malaviya National Institute Of Technology Jaipur, Jaipur, India), Santosh Kumar Vipparthi (Malaviya National Institute Of Technology Jaipur, Jaipur, India), ACM Multimedia 2020
"Multimodal Multi-Task Financial Risk Forecasting", Ramit Sawhney (Netaji Subhas Institute Of Technology, New Delhi, India), Puneet Mathur (University Of Maryland, College Park, Washington DC, DC, USA), Ayush Mangal (IIT Roorkee, Roorkee, India), Piyush Khanna (Delhi Technological University, New Delhi, India), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, New Delhi, India), R. Zimmermann (National University Of Singapore, Singapore, Singapore), ACM Multimedia 2020
"Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization", Komal Chugh (Indian Institute Of Technology Ropar, Ropar, India), Parul Gupta (Indian Institute Of Technology Ropar, Ropar, India), Abhinav Dhall (Monash University & Indian Institute Of Technology Ropar, City Of Monash, Australia), Ramanathan Subramanian (Indian Institute Of Technology Ropar, Ropar, India), ACM Multimedia 2020
"Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https://egocentricbiometric.github.io/", Daksh Thapar (Indian Institute Of Technology Mandi, Mandi, India), Aditya Nigam (Indian Institute Of Technology Mandi, Mandi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), ACM Multimedia 2020
"3DRegNet: A Deep Neural Network for 3D Point Registration", G. Dias Pais (Instituto Superior Técnico, Lisboa,), Srikumar Ramalingam (Google Research, NY,), Venu Madhav Govindu (Indian Institute Of Science, Bengaluru,), Jacinto C. Nascimento (Instituto Superior Técnico, Lisboa,), Rama Chellappa (University Of Maryland, College Park,), Pedro Miraldo (Instituto Superior Técnico, Lisboa,), CVPR 2020
"From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks", K L Navaneet (Indian Institute Of Science,), Ansu Mathew (Indian Institute Of Science,), Shashank Kashyap (Indian Institute Of Science,), Wei-Chih Hung (University Of California, Merced,), Varun Jampani (Google Research,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis", K R Prajwal (IIIT Hyderabad), Rudrabha Mukhopadhyay (IIIT Hyderabad), Vinay P. Namboodiri (University Of Bath), C. V. Jawahar (IIIT Hyderabad), CVPR 2020
"Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation", Rahul Mitra (IIT Bombay,), Nitesh B. Gundavarapu (UC San Diego,), Abhishek Sharma (Axogyan AI,), Arjun Jain (IISc Bangalore,), CVPR 2020
"Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis", Jogendra Nath Kundu (Indian Institute Of Science, Bangalore,), Siddharth Seth (Indian Institute Of Science, Bangalore,), Varun Jampani (Google Research,), Mugalodi Rakesh (Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore, India,), Anirban Chakraborty (Indian Institute Of Science, Bangalore,), CVPR 2020
"Single-Step Adversarial Training With Dropout Scheduling", B. S. Vivek (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), R. Venkatesh Babu (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes", Sravanti Addepalli (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore, India,), B. S. Vivek (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), Arya Baburaj (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore, India,), Gaurang Sriramanan (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore, India,), R. Venkatesh Babu (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Universal Source-Free Domain Adaptation", Jogendra Nath Kundu (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), Naveen Venkat (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), M. V. Rahul (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), R. Venkatesh Babu (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Varicolored Image De-Hazing", Akshay Dudhane (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology Ropar, INDIA,), Kuldeep M. Biradar (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology, Ropar, Ropar, India,), Prashant W. Patil (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology, Ropar, Ropar, India,), Praful Hambarde (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology Ropar, INDIA,), Subrahmanyam Murala (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology Ropar, INDIA,), CVPR 2020
"An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100", Ishant Shanu (Indraprastha Institute Of Information Technology, Delhi, India), Siddhant Bharti (Indraprastha Institute Of Information Technology, Delhi, India), Chetan Arora (Indian Institute Of Technology, Delhi, India), S. N. Maheshwari (Indian Institute Of Technology, Delhi, India), ECCV 2020
"Attributional Robustness Training using Input-Gradient Spatial Alignment", Mayank Singh (Adobe), Nupur Kumari (Adobe), Puneet Mangla (IIT-Hyderabad), Abhishek Sinha (Adobe), Vineeth N Balasubramanian (IIT-Hyderabad), Balaji Krishnamurthy (Adobe), ECCV 2020
"Contextual Diversity for Active Learning", Sharat Agarwal (IIIT-Delhi, New Delhi, India), Himanshu Arora (Flixstock Inc., New Delhi, India), Saket Anand (IIIT-Delhi, New Delhi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), ECCV 2020
"Is Sharing of Egocentric Video Giving Away Your Biometric Signature?", Daksh Thapar (Indian Institute Of Technology Mandi, Mandi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), Aditya Nigam (Indian Institute Of Technology Mandi, Mandi, India), ECCV 2020
"Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search,", Ayush Tyagi (IIT Delhi), Sameer Ambekar (IIT Delhi), Prashant Pandey (IIT Delhi) and Prathosh AP (IIT Delhi), ECCV 2020
"Table Structure Recognition using Top-Down and Bottom-Up Cues", Sachin Raja (IIIT Hyderabad), Ajoy Mondal (IIIT Hyderabad) and C. V. Jawahar (IIIT Hyderabad), ECCV 2020
"An Interval-centric Model for Distributed Computing over Temporal Graphs", Swapnil Gandhi (Indian Institute Of Science, Bangalore,), Yogesh Simmhan (Indian Institute Of Science, Bangalore,), ICDE 2020
"Implementation of physiological signal based emotion recognition algorithm", Cynthia Joesph (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), A. Rajeswari (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), B. Premalatha (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), C. Balapriya (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), ICDE 2020
"Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting", Ramit Sawhney (IIIT Delhi, New Delhi, India,), Shivam Agarwal (Manipal Institute Of Technology, Karnataka, India,), Arnav Wadhwa (MIDAS, IIIT Delhi, New Delhi, India,), Rajiv Ratn Shah (IIIT Delhi, New Delhi, India,), ICDM 2020
"Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures", Chiranjib Bhattacharyya (IISc), Ravindran Kannan (MSR India), ICML 2020
"Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search", Prashant Pandey (Indian Institute Of Technology Delhi), Prathosh A. P (Indian Institute Of Technology Delhi), Vinay Kyatham (SigTuple Technologies Pvt. Ltd., Bangalore), Deepak Mishra (Indian Institute Of Technology Jodhpur), Tathagato Rai Dastidar (SigTuple Technologies Pvt. Ltd., Bangalore), IEEE TMI 2020
"A Survey on Using Gaze Behaviour for Natural Language Processing", Sandeep Mathias (Indian Institute Of Technology Bombay), Diptesh Kanojia (Indian Institute Of Technology Bombay), Abhijit Mishra (Apple Inc), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), IJCAI 2020
"Learning With Subquadratic Regularization : A Primal-Dual Approach", Raman Sankaran (IISc), Francis R. Bach (INRIA), Chiranjib Bhattacharyya (IISc), IJCAI 2020
"Logic Constrained Pointer Networks for Interpretable Textual Similarity", Subhadeep Maji (Amazon, India), Rohan Kumar (Flipkart, India), Manish Bansal (Flipkart, India), Kalyani Roy (IIT Kharagpur), Pawan Goyal (IIT Kharagpur), IJCAI 2020
"A Graph Based Framework for Structured Prediction Tasks in Sanskrit", Amrith Krishna (University Of Cambridge), Bishal Santra (IIT Kharagpur), Ashim Gupta (University Of Utah), Pavankumar Satuluri (Chinmaya Vishwavidyapeeth), Pawan Goyal (IIT Kharagpur), J. Computational Linguistics 2020
"Calibrating CNNs for Lifelong Learning", Pravendra Singh (IIT Kanpur), Vinay Verma (Duke U.), Pratik Mazumder (IIT Kanpur), Lawrence Carin (Duke U.), and Piyush Rai (IIT Kanpur), NeurIPS 2020
"Consistent Plug-in Classifiers for Complex Objectives and Constraints", Shiv Kumar Tavker (IIT Madras), Harish G. Ramaswamy (IIT Madras) and Harikrishna Narasimhan (Google Research), NeurIPS 2020
"Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games", A. S. Suggala (CMU) and P. Netrapalli (Microsoft Research India), NeurIPS 2020
"Inductive Quantum Embedding", Dhiraj Madan (IBM Research India), Santosh K. Srivastava (IBM Research India), Dinesh Khandelwal (IBM Research India), Dinesh Garg (IBM Research India), Hima Karnam (IBM Research India), LV Subramaniam (IBM Research India), NeurIPS 2020
"Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms [*]", G. Bresler (MIT), P. Jain (Microsoft Research India), D. Nagaraj (MIT), P. Netrapalli (Microsoft Research India) and X. Wu (Stanford), NeurIPS 2020
"Meta-consolidation for Continual Learning", Joseph K J (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2020
"MOReL : Model-Based Offline Reinforcement Learning", R. Kidambi (Cornell), A. Rajeswaran (U. Washington), P. Netrapalli (Microsoft Research India) and T. Joachims (Cornell), NeurIPS 2020
"Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method", K. K. Thekumparampil (University of Illinois at Urbana-Champaign), P. Jain (Microsoft Research India), P. Netrapalli (Microsoft Research India) and S. Oh (U. Washington), NeurIPS 2020
"Self-Supervised Few-Shot Learning on Point Clouds", Charu Sharma (Indian Institute Of Technology Hyderabad), Manohar Kaul (Indian Institute Of Technology Hyderabad), NeurIPS 2020
"Statistical Optimal Transport posed as Learning Kernel Embedding", J. SakethaNath (IIT HYDERABAD), Pratik Jawanpuria (Microsoft IDC, HYDERABAD), NeurIPS 2020
"The Pitfalls of Simplicity Bias in Neural Networks", H. Shah (Microsoft Research India), K. Tamuly (Microsoft Research India), A. Raghunathan (Stanford), P. Jain (Microsoft Research India) and P. Netrapalli (Microsoft Research India), NeurIPS 2020
"ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs", Shubhangi Agarwal (IIT Kanpur), Sourav Dutta (Huawei Research, Ireland), Arnab Bhattacharya (IIT Kanpur), PVLDB 2020
"Mining Top-k Pairs of Correlated Subgraphs in a Large Network", Arneish Prateek (IIT Delhi), Arijit Khan (Nanyang Technological University, Singapore), Akshit Goyal (IIT Delhi), Sayan Ranu (IIT Delhi), PVLDB 2020
"Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity", Paheli Bhattacharya (Indian Institute Of Technology Kharagpur, Kharagpur, India), Kripabandhu Ghosh (Tata Research Development And Design Centre, Pune, India), Arindam Pal (Data61, CSIRO And Cyber Security CRC, Sydney, Australia), Saptarshi Ghosh (Indian Institute Of Technology Kharagpur, Kharagpur, India), SIGIR 2020
"How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements", Noveen Sachdeva (International Institute Of Information Technology, Hyderabad, India), Julian John McAuley (University Of California, San Diego, San Diego, CA, USA), SIGIR 2020
"Leveraging Social Media for Medical Text Simplification", Nikhil Pattisapu (International Institute Of Information Technology Hyderabad, Hyderabad, India), Nishant Prabhu (International Institute Of Information Technology Hyderabad, Hyderabad, India), Smriti Bhati (International Institute Of Information Technology Hyderabad, Hyderabad, India), Vasudeva Varma (International Institute Of Information Technology Hyderabad, Hyderabad, India), SIGIR 2020
"MetaGen: An academic Meta-review Generation system", Chaitanya Bhatia (Indian Institute Of Technology (BHU), Varanasi, Varanasi, India), Tribikram Pradhan (Indian Institute Of Technology (BHU), Varanasi, Varanasi, India), Sukomal Pal (Indian Institute Of Technology (BHU), Varanasi, Varanasi, India), SIGIR 2020
"Multi-Modal Summary Generation using Multi-objective Optimization", Anubhav Jangra (Indian Institute Of Technology Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, India), Adam Jatowt (Kyoto University, Japan), Mohammed Hasanuzzaman (Cork Institute Of Technology, Ireland), SIGIR 2020
"MVL: Multi-View Learning for News Recommendation", Tokala Yaswanth S S Santosh (IIT Kharagpur, Kharagpur, India), Avirup Saha (IIT Kharagpur, Kharagpur, India), Niloy Ganguly (IIT Kharagpur, Kharagpur, India), SIGIR 2020
"Predicting Session Length for Product Search on E-commerce Platform", Shashank Gupta (Flipkart Internet Private Limited, BENGALURU, India), Subhadeep Maji (Flipkart Internet Private Limited, BENGALURU, India), SIGIR 2020
"Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews", Rajdeep Mukherjee (IIT Kharagpur, Kharagpur, India), Hari Chandana Peruri (IIT Kharagpur, Kharagpur, India), Uppada Vishnu (IIT Kharagpur, Kharagpur, India), Pawan Goyal (IIT Kharagpur, Kharagpur, India), Sourangshu Bhattacharya (Indian Institute Of Technology Kharagpur), Niloy Ganguly (Indian Institute Of Technology Kharagpur), SIGIR 2020
"Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction", Subhabrata Dutta (Jadavpur University), Sarah Masud (IIIT Delhi), Soumen Chakrabarti (IIT Bombay), Tanmoy Chakraborty (IIIT Delhi), SIGKDD 2020
"Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games", Sharanya Eswaran (Games24x7), Mridul Sachdeva (Games24x7), Vikram Vimal (Games24x7), Deepanshi Seth (Games24x7), Suhas Kalpam (Games24x7), Sanjay Agarwal (Games24x7), Tridib Mukherjee (Games24x7), Samrat Dattagupta (Games24x7), SIGKDD 2020
"Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization", Rishabh Mehrotra (Spotify Research, London, United Kingdom), Ashish Gupta (Walmart Labs, Bangalore, India), SIGKDD 2020
"Off-policy Bandits with Deficient Support", Noveen Sachdeva (International Institute Of Information Technology Hyderabad, Hyderabad, India), Yi Su (Cornell University, Ithaca, NY, USA), Thorsten Joachims (Cornell University, Ithaca, NY, USA), SIGKDD 2020
"Pest Management In Cotton Farms: An AI-System Case Study from the Global South", Aman Dalmia (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Jerome White (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Ankit Chaurasia (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Vishal Agarwal (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Rajesh Jain (), Dhruvin Vora (), Balasaheb Dhame (), Raghu Dharmaraju (), Rahul Alex Panicker (), SIGKDD 2020
"Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks", Surgan Jandial (IIT Hyderabad), Ayush Chopra (Adobe), Mausoom Sarkar (Adobe), Piyush Gupta (Adobe), Balaji Krishnamurthy (Adobe), Vineeth N Balasubramanian (IIT-Hyderabad), SIGKDD 2020
"Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates", Surabhi Gupta (Microsoft Research India, Bengaluru, India), Sanket Purandare (Harvard University, Cambridge, MA, USA), Karthik Ramachandra (Microsoft Research India, Bengaluru, India), SIGMOD 2020
"Factorized Graph Representations for Semi-Supervised Learning from Sparse Data", Krishna Kumar P (IIT Madras, Madras, India), Paul Langton (Northeastern University, Boston, MA, USA), Wolfgang Gatterbauer (Northeastern University, Boston, MA, USA), SIGMOD 2020
"The Case for a Learned Sorting Algorithm", Ani Kristo (Brown University, Providence, RI, USA), Kapil Vaidya (Massachusetts Institute Of Technology, Cambridge, MA, USA), Uǧur Çetintemel (Brown University, Providence, RI, USA), Sanchit Misra (Intel Labs, Bangalore, India), Tim Kraska (Massachusetts Institute Of Technology, Cambridge, MA, USA), SIGMOD 2020
"Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining", Ananya B. Sai (IIT Madras), Akash Kumar Mohankumar (IIT Madras), Siddhartha Arora (IIT Madras), Mitesh M. Khapra (IIT Madras), TACL 2020
"Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval", Andrew Yates (Max Planck Institute For Informatics, Saarbruecken, Germany), Siddhant Arora (Indian Institute Of Technology, Delhi, India), Xinyu Zhang (University Of Waterloo, Waterloo, ON, Canada), Wei Yang (University Of Waterloo, Waterloo, ON, Canada), Kevin Martin Jose (Saarland University & Max Planck Institute For Informatics, Saarbruecken, Germany), Jimmy J Lin (University Of Waterloo, Waterloo, ON, Canada), WSDM 2020
"Extreme Regression for Dynamic Search Advertising", Yashoteja Prabhu (Microsoft Research India & Indian Institute Of Technology Delhi, Bengaluru, India), Aditya Kusupati (University Of Washington, Seattle, WA, USA), Nilesh Gupta (Microsoft Research India, Bengaluru, India), Manik Varma (Microsoft Research India & Indian Institute Of Technology Delhi, Bengaluru, India), WSDM 2020
"FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages", Ankush Chatterjee (Microsoft AI Research, Hyderabad, India), Manish Gupta (Microsoft AI Research, Hyderabad, India), Puneet Agrawal (Microsoft AI Research, Hyderabad, India), WSDM 2020
"LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding", Ayan Kumar Bhowmick (Indian Institute Of Technology Kharagpur, Kharagpur, West Bengal, India), Koushik Meneni (Indian Institute Of Technology Kharagpur, Kharagpur, West Bengal, India), Maximilien Danisch (Sorbonne Université, CNRS, Laboratoire D`Informatique De Paris 6, LIP6, Paris, France, France), Jean Loup Guillaume (L3I, University Of La Rochelle, La Rochelle, France), Bivas Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, West Bengal, India), WSDM 2020
"Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding", Sambaran Bandyopadhyay (IBM Research, Bangalore, India), Lokesh N (Indian Institute Of Science, Bangalore, India), Saley Vishal Vivek (Indian Institute Of Science, Bangalore, India), M Narasimha Murty (Indian Institute Of Science, Bangalore, India), WSDM 2020
"eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection", Ramnath Kumar (Birla Institute Of Technology And Science Hyderabad, India), Shweta Yadav (Wright State University Dayton, Ohio, USA), Raminta Daniulaityte (Wright State University Dayton, Ohio, USA), Francois R Lamy (Mahidol University Thailand), Krishnaprasad Thirunarayan (Wright State University Dayton, Ohio, USA), Usha Lokala (Wright State University Dayton, Ohio, USA), Amit P. Sheth (University Of South Carolina Columbia, South Carolina, USA), WWW 2020