"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
"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
"Meta-X NLG : A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation", Kaushal Kumar Maurya (Indian Institute Of Technology Hyderabad Hyderabad, India), Maunendra Sankar Desarkar (Indian Institute Of Technology Hyderabad Hyderabad, India), 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
"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
"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
"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
"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
"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
"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
"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
"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
"Deep Indexed Active Learning for Matching Heterogeneous Entity Representations.", Arjit Jain (IIT Bombay), Sunita Sarawagi (IIT Bombay), and Prithviraj Sen (IBM Research, Almaden), VLDB 2022
"MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From 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
"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
"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
"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
"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
"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
"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
"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
"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), Asif Ekbal (IIT Patna) and Pushpak Bhattacharyya (IIT Patna), AAAI 2021
"Relational Boosted Bandits.", Kakadiya, A. (IIT Madras), Natarajan, S. (UT Dallas), and Ravindran, B. (IIT Madras), AAAI 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
"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
"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
"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
"MeronymNet: A Hierarchical Model for Unified and Controllable Multi-Category Object Generation [ORAL]", Rishabh Baghel (IIIT Hyderabad), Abhishek Trivedi (IIIT Hyderabad), Tejas Ravichandran (IIIT Hyderabad), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), 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
"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
"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", Joseph K J (IIT-Hyderabad/MBZUAI), Salman Khan (MBZUAI (UAE)), Fahad Khan (MBZUAI (UAE)), Vineeth N Balasubramanian (IIT-Hyderabad), 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
"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
"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 Validation ErrorT Bombay)", Krishnateja Killamsetty (UT Dallas), Durga Sivasubramanian (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), and Rishabh Iyer (IIT Bombay), ICML 2021
"Generating Personalized Summaries of Day Long Egocentric Videos", Pravin Nagar (IIIT Delhi), Anuj Rathore (IIIT Hyderabad), C. V. Jawahar (IIIT Hyderabad), Chetan Arora (IIT Delhi), IEEE PAMI 2021
"Incremental Object Detection via Meta-Learning", Joseph K J (IIT-Hyderabad), Jathushan R (MBZUAI (UAE)), Salman Khan (MBZUAI (UAE)), Fahad Khan (MBZUAI (UAE)), Vineeth N Balasubramanian (IIT-Hyderabad), IEEE PAMI 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
"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
"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
"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
"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
"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
"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
"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
"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 (CentraleSupélec and Université Paris-Est Marne la Vallée), 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
"Missing Value Imputation on Multidimensional Time Series.", Parikshit Bansal (IIT Bombay), Prathamesh Deshpande (IIT Bombay) and Sunita Sarawagi (IIT Bombay), VLDB 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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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), VLDB 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), VLDB Journal 2020