Papers from India in CORE A* Data Science Venues

(Since August 2020)
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Year

Conference

  1. "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
  2. "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
  3. "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
  4. "FairFoody: Bringing in Fairness in Food Delivery", Anjali (IIT Delhi), Rahul Yadav (IIT Delhi), Ashish Nair (IIT Delhi), Abhijnan Chakraborty (IIT Delhi), Sayan Ranu (IIT Delhi), Amitabha Bagchi (IIT Delhi), AAAI 2022
  5. "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
  6. "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
  7. "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
  8. "Latent Time Neural Ordinary Differential Equations", Srinivas Anumasa (IIT Hyderabad), P. K. Srijith (IIT Hyderabad), AAAI 2022
  9. "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
  10. "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
  11. "On Causally Disentangled Representations", Abbavaram Gowtham Reddy (IIT-Hyderabad), Benin Godfrey (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), AAAI 2022
  12. "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
  13. "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
  14. "TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs", Shubham Gupta (IIT Delhi), Sahil Manchanda (IIT Delhi), Srikanta Bedathur (IIT Delhi), Saya Ranu (IIT Delhi), AAAI 2022
  15. "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
  16. "Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding", Soumya Chatterjee (IIT Bombay), Sunita Sarawagi (IIT Bombay), Preethi Jyothi (IIT Bombay), ACL 2022
  17. "Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction", Keshav Kolluru (IIT Delhi), Muqeeth M (IIT Delhi), Shubham Mittal (IIT Delhi), Soumen Chakrabarti (IIT Bombay), Mausam (IIT Delhi), ACL 2022
  18. "Comprehensive Multi-Modal Interactions for Referring Image Segmentation", Kanishk Jain (IIIT Hyderabad), Vineet Gandhi (IIIT Hyderabad), ACL 2022
  19. "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
  20. "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
  21. "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
  22. "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
  23. "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
  24. "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
  25. "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
  26. "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
  27. "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
  28. "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
  29. "Merry Go Round: Rotate a Frame and Fool a DNN", Daksh Thapar (IIT Mandi), Aditya Nigam (IIT Mandi), Chetan Arora (IIT Delhi), CVPR 2022
  30. "Multi-modal Extreme Classification", Anshul Mittal (IIT Delhi), Shreya Malani (Microsoft), Kunal Dahiya (IIT Delhi), Janani Ramaswamy (Microsoft), Seba Kuruvilla (Microsoft), Jitendra Ajmera (Microsoft), Keng-hao Chang (Microsoft), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research), CVPR 2022
  31. "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
  32. "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
  33. "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
  34. "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
  35. "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
  36. "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
  37. "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
  38. "Causal Contextual Bandits with Targeted Interventions", Chandrasekar Subramanian (IIT Madras), Balaraman Ravindran (IIT Madras), ICLR 2022
  39. "Focus on the Common Good: Group Distributional Robustness Follows", Vihari Piratla (IIT Bombay), Praneeth Netrapalli (Google Research), Sunita Sarawagi (IIT Bombay), ICLR 2022
  40. "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
  41. "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
  42. "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
  43. "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
  44. "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", Prathamesh Deshpande (IIT Bombay), Sunita Sarawagi (IIT Bombay), IJCAI 2022
  45. "CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech", Saha, Punyajoy ; Singh, Kanishk ; Kumar, Adarsh ; Mathew, Binny ; Mukherjee, Animesh (IIT Kharagpur), IJCAI 2022
  46. "Deep Interactive Surface Creation from 3D Sketch Strokes", Sukanya Bhattacharjee (IIT Bombay), Parag Chaudhuri (IIT Bombay), IJCAI 2022
  47. "Multilingual and Multimodal Abuse Detection", Rini Sharon (ShareChat), Heet Shah (ShareChat), Debdoot Mukherjee (ShareChat), Vikram Gupta (ShareChat), Interspeech 2022
  48. "Learnability of Linear Thresholds from Label Proportions", Rishi Saket (Google Research India), NeurIPS 2022
  49. "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
  50. "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
  51. "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
  52. "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
  53. "ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences", Vinayak Gupta (IIT Delhi), Srikanta Bedathur (IIT Delhi), SIGKDD 2022
  54. "Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages", Gowtham Ramesh (AI4Bharat), Sumanth Doddapaneni (AI4Bharat, IIT Madras), Aravinth Bheemaraj (Tarento, EkStep), Mayank Jobanputra (IIT Madras), Raghavan AK (AI4Bharat), Ajitesh Sharma (Tarento, EkStep), Sujit Sahoo (Tarento, EkStep), Harshita Diddee (AI4Bharat), Mahalakshmi J (AI4Bharat), Divyanshu Kakwani (AI4Bharat, IIT Madras), Navneet Kumar (Tarento, EkStep), Aswin Pradeep (Tarento, EkStep), Srihari Nagaraj (Tarento, EkStep), Kumar Deepak (Tarento, EkStep), Vivek Raghavan (EkStep), Anoop Kunchukuttan (Microsoft, AI4Bharat), Pratyush Kumar (Microsoft, AI4Bharat, IIT Madras), Mitesh M. Khapra (IIT Madras, AI4Bharat), TACL 2022
  55. "Answering Regular Path Queries through Exemplars", Komal Chauhan (IIT Delhi), Kartik Jain (IIT Delhi), Sayan Ranu (IIT Delhi), Srikanta Bedathur (IIT Delhi), Amitabha Bagchi (IIT Delhi), VLDB 2022
  56. "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
  57. "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
  58. "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
  59. "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
  60. "AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations", Sk Mainul Islam (IIT Kharagpur), Sourangshu Bhattacharya (IIT Kharagpur), WWW 2022
  61. "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
  62. "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
  63. "XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages", Tushar Abhishek (IIIT Hyderabad), Shivprasad Sagare (IIIT Hyderabad), Bhavyajeet Singh (IIIT Hyderabad), Anubhav Sharma (IIIT Hyderabad), Manish Gupta (IIIT Hyderabad), Vasudeva Varma (IIIT Hyderabad), WWW 2022
  64. "A Context Aware Approach for Generating Natural Language Attacks", Rishabh Maheshwary (IIIT Hyderabad), Saket Maheshwary (IIIT Hyderabad), Vikram Pudi (IIIT Hyderabad), AAAI 2021
  65. "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
  66. "Adversarial Permutation Guided Node Representations for Link Prediction", Indradyumna Roy (IIT Bombay), Abir De (IIT Bombay), Soumen Chakrabarti (IIT Bombay), AAAI 2021
  67. "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
  68. "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
  69. "Differentially Private Link Prediction with Protected Connections", Abir De (IIT Bombay) and Soumen Chakrabarti (IIT Bombay), AAAI 2021
  70. "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
  71. "Enhanced Regularizers for Attributional Robustness", Anindya Sarkar* (IIT-Hyderabad), Anirban Sarkar* (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), AAAI 2021
  72. "Estimation of Spectral Risk Measures", Ajay Kumar Pandey (IIT Madras), Prashanth L. A. (IIT Madras), and Sanjay P. Bhat (TCS Research), AAAI 2021
  73. "Few-shot Lifelong Learning", Pratik Mazumder (IIT Kanpur), Pravendra Singh (Independent), and Piyush Rai (IIT Kanpur), AAAI 2021
  74. "Generalized Adversarially Learned Inference", Yatin Dandi (IIT Kanpur), Homanga Bharadhwaj (U. Toronto), Abhishek Kumar (Google Brain), and Piyush Rai (IIT Kanpur), AAAI 2021
  75. "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
  76. "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
  77. "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
  78. "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
  79. "Model-agnostic fits for understanding information seeking patterns in humans", Soumya Chatterjee (Google Research India), Pradeep Shenoy (Google Research India), AAAI 2021
  80. "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
  81. "Relational Boosted Bandits.", Kakadiya, A. (IIT Madras), Natarajan, S. (UT Dallas), and Ravindran, B. (IIT Madras), AAAI 2021
  82. "Scene Graph Embeddings Using Relative Similarity Supervision", Paridhi Maheshwari (Adobe Research), Ritwick Chaudhry (Carnegie Mellon University), Vishwa Vinay (Adobe Research), AAAI 2021
  83. "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
  84. "Action selection for composable modular deep reinforcement learning", Vaibhav Gupta (IIIT Hyderabad), Daksh Anand (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Akshat Kumar (Singapore Management University), AAMAS 2021
  85. "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
  86. "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
  87. "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
  88. "Sequential Ski Rental Problem", Anant Shah (IIT Madras) and Arun Rajkumar (IIT Madras), AAMAS 2021
  89. "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
  90. "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
  91. "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
  92. "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
  93. "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
  94. "From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text", Ishan Tarunesh (Samsung Korea), Syamantak Kumar (Google India), Preethi Jyothi (IIT Bombay), ACL 2021
  95. "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
  96. "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
  97. "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
  98. "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
  99. "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
  100. "OKGIT: Open Knowledge Graph Link Prediction with Implicit Types", Chandrahas (IISc) and Partha Talukdar (IISc), ACL 2021
  101. "Question Answering over Temporal Knowledge Graphs", Apoorv Saxena (IISc), Soumen Chakrabarti (IIT Bombay) and Partha Talukdar (Google Research India), ACL 2021
  102. "Reordering Examples Helps during Priming-based Few-shot Learning", Sawan Kumar (IISc) and Partha Talukdar (IISc), ACL 2021
  103. "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
  104. "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
  105. "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
  106. "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
  107. "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
  108. "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
  109. "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
  110. "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
  111. "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
  112. "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
  113. "Anonymizing Egocentric Videos", Daksh Thapar (IIT Mandi), Aditya Nigam (IIT Mandi), Chetan Arora (IIT Delhi), ICCV 2021
  114. "Few-shot Visual Relationship Co-localization", Revant Teotia (IIT Jodhpur), Vaibhav Mishra (IIT Jodhpur), Mayank Maheshwari (IIT Jodhpur), Anand Mishra (IIT Jodhpur), ICCV 2021
  115. "TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving.", Soumi Das (IIT Kharagpur), Harikrishna Patibandla (IIT Kharagpur), Suparna Bhattacharya, (HPE), Kshounis Bera (HPE), Niloy Ganguly (IIT Kharagpur), Sourangshu Bhattacharya. (IIT Kharagpur), ICCV 2021
  116. "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
  117. "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
  118. "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
  119. "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
  120. "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
  121. "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
  122. "Bayesian Structural Adaptation for Continual Learning", Abhishek Kumar (IIT Kanpur), Sunabha Chatterjee (IIT Kanpur), and Piyush Rai (IIT Kanpur), ICML 2021
  123. "Confidence-Budget Matching for Sequential Budgeted Learning", Yonathan Efroni (Technion), Nadav Merlis (Technion), Aadirupa Saha (IISc), and Shie Mannor (Technion), ICML 2021
  124. "Domain Generalization using Causal Matching", Divyat Mahajan (Microsoft Research India), Shruti Tople (Microsoft Research UK), and Amit Sharma (Microsoft Research India), ICML 2021
  125. "Dueling Convex Optimization", Aadirupa Saha (IISc), Tomer Koren (Tel Aviv University and Google), and Yishay Mansour (Google and Tel Aviv University), ICML 2021
  126. "Finding k in Latent k- polytope", Chiranjib Bhattacharyya (Indian Institute of Science), Ravindran Kannan (Microsoft Research India), and Amit Kumar (IIT Delhi), ICML 2021
  127. "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
  128. "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
  129. "On Characterizing GAN Convergence Through Proximal Duality Gap", Sahil Sidheekh (IIT Ropar), Aroof Aimen (IIT Ropar), and Narayanan Chatapuram Krishnan (IIT Ropar), ICML 2021
  130. "On the Problem of Underranking in Group-Fair Ranking", Sruthi Gorantla (IISc), Amit Jayant Deshpande (Microsoft Research India), and Anand Louis (IISc), ICML 2021
  131. "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
  132. "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
  133. "RRL: Resnet as representation for Reinforcement Learning", Rutav Shah (IIT Kharagpur) and Vikash Kumar (Univ. Of Washington), ICML 2021
  134. "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
  135. "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
  136. "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
  137. "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
  138. "GraphReach: Position-Aware Graph Neural Network using Reachability Estimations", Sunil Nishad (IIT Kanpur), Shubhangi Agarwal (IIT Kanpur), Arnab Bhattacharya (IIT Kanpur), Sayan Ranu (IIT Delhi), IJCAI 2021
  139. "Knowledge Consolidation based Class Incremental Online Learning with Limited Data", Mohammed Asad Karim (IIT Kanpur), Vinay Verma (Duke University), Pravendra Singh (IIT Roorkee), Vinay Namboodiri (IIT Kanpur), and Piyush Rai (IIT Kanpur), IJCAI 2021
  140. "Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare", Arpita Biswas (Harvard University), Gaurav Aggarwal (Google Research), Pradeep Varakantham (Singapore Management University), Milind Tambe (Google Research), IJCAI 2021
  141. "Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning", Arjit Jain (IIT Bombay), Pranay Reddy Samala (IIT Bombay), Preethi Jyothi (IIT Bombay), Deepak Mittal (Verisk Analytics), Maneesh Singh (Verisk Analytics), IJCAI 2021
  142. "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
  143. "Emotional Prosody Control for Speech Generation", Sarath Sivaprasad (IIIT Hyderabad), Saiteja Kosgi (IIIT Hyderabad), Vineet Gandhi (IIIT Hyderabad), Interspeech 2021
  144. "Normalization Driven Zero-Shot Multi-Speaker Speech Synthesis", Neeraj Kumar (Hike Private Limited, IIT Delhi), Srishti Goel (Hike Private Limited), Ankur Narang (Hike Private Limited), Brejesh Lall (IIT Delhi), Interspeech 2021
  145. "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
  146. "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
  147. "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
  148. "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
  149. "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
  150. "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
  151. "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
  152. "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
  153. "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
  154. "NeuroMLR: Robust & Reliable Route Recommendation on Road Networks", Jayant Jain (IIT Delhi), Vrittika Bagadia (IIT Delhi), Sahil Manchanda (IIT Delhi), Sayan Ranu (IIT Delhi), NeurIPS 2021
  155. "On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons", Vishnu Veerathu (Cohesity Inc.), and Arun Rajkumar (IIT Madras), NeurIPS 2021
  156. "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
  157. "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
  158. "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
  159. "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
  160. "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
  161. "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
  162. "Diversity driven Query Rewriting in Search Advertising", Akash Kumar Mohankumar (IIT Madras), Nikit Begwani (Microsoft India), and Amit K Singh (Microsoft India), SIGKDD 2021
  163. "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
  164. "Generalized Zero-Shot Extreme Multi-label Learning", Nilesh Gupta (Microsoft Research India), Sakina Bohra (Microsoft), Yashoteja Prabhu (Microsoft Research), Saurabh Purohit (Microsoft Research), and Manik Varma (Microsoft Research), SIGKDD 2021
  165. "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
  166. "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
  167. "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
  168. "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
  169. "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
  170. "Missing Value Imputation on Multidimensional Time Series.", Parikshit Bansal (IIT Bombay), Prathamesh Deshpande (IIT Bombay) and Sunita Sarawagi (IIT Bombay), VLDB 2021
  171. "Balance Maximization in Signed Networks via Edge Deletions", Kartik Sharma (IIT Delhi), Iqra Altaf Gillani (IIT Delhi), Sourav Medya (Northwestern University), Sayan Ranu (IIT Delhi), Amitabha Bagchi (IIT Delhi), WSDM 2021
  172. "DECAF : Deep Extreme Classification with Label Features", Anshul Mittal (IIT Delhi), Kunal Dahiya (IIT Delhi), Sheshansh Agrawal (Microsoft Research, India), Deepak Saini (Microsoft Research, India), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research, India), WSDM 2021
  173. "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
  174. "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
  175. "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
  176. "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
  177. "Joint Spatio-Textual Reasoning for Answering Tourism Questions.", Danish Contractor (IBM Research Ai, India), Shashank Goel, Mausam and Parag Singla (IIT Delhi), WWW 2021
  178. "Adapting language models for non-parallel author-stylized rewriting", Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma (IIIT Hyderabad, Adobe Research, Adobe Research, Adobe Research, IIIT Hyderabad), AAAI 2020
  179. "Bidding in Smart Grid PDAs: Theory, Analysis and Strategy", Susobhan Ghosh (IIIT Hyderabad), Sujit Gujar (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Easwar Subramanian (Tata Consultancy Services), Sanjay P Bhat (Tata Consultancy Services), AAAI 2020
  180. "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
  181. "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
  182. "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
  183. "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
  184. "Towards Transparent and Explainable Attention Models", Akhash Kumar (IIT Madras), Preksha Nema (IIT Madras), S Narasimhan (IIT Madras), Mitesh Khapra (IIT Madras), Balaji Vasan Srinivasan (Adobe Research, India), Balaraman Ravindran (IIT Madras), ACL 2020
  185. "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
  186. "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
  187. "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
  188. "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
  189. "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
  190. "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
  191. "Recurrent Image Annotation With Explicit Inter-Label Dependencies", Ayushi Dutta (IIIT Hyderabad), Yashaswi Verma (IIT Jodhpur), and C.V. Jawahar (IIIT Hyderabad), ECCV 2020
  192. "Sketch-Guided Object Localization in Natural Images", Aditay Tripathi (IISc Bangalore), Rajath R Dani (IISc Bangalore), Anand Mishra (IIT Jodhpur), Aniraban Chakraborty (IISc Bangalore), ECCV 2020
  193. "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
  194. "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
  195. "Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures", Chiranjib Bhattacharyya (IISc), Ravindran Kannan (MSR India), ICML 2020
  196. "On Coresets for Regularized Regression", Rachit Chhaya (IIT Gandhinagar), Anirban Dasgupta (IIT Gandhinagar), Supratim Shit (IIT Gandhinagar), ICML 2020
  197. "Streaming Coresets for Symmetric Tensor Factorization", Supratim Shit (IIT Gandhinagar), Anirban Dasgupta (IIT Gandhinagar), Rachit Chhaya (IIT Gandhinagar), Jayesh Choudhari (IIT Gandhinagar), ICML 2020
  198. "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
  199. "Learning With Subquadratic Regularization : A Primal-Dual Approach", Raman Sankaran (IISc), Francis R. Bach (INRIA), Chiranjib Bhattacharyya (IISc), IJCAI 2020
  200. "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
  201. "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
  202. "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
  203. "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
  204. "GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs", Sahil Manchanda (IIT Delhi), Akash Mitttal (IIT Delhi), Anuj Dhawan (IIT Delhi), Sourav Medya (Northwestern University), Sayan Ranu (IIT Delhi), Ambuj Singh (University Of California, Santa Barbara), NeurIPS 2020
  205. "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
  206. "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
  207. "Meta-consolidation for Continual Learning", Joseph K J (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2020
  208. "MOReL : Model-Based Offline Reinforcement Learning", R. Kidambi (Cornell), A. Rajeswaran (U. Washington), P. Netrapalli (Microsoft Research India) and T. Joachims (Cornell), NeurIPS 2020
  209. "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
  210. "Self-Supervised Few-Shot Learning on Point Clouds", Charu Sharma (Indian Institute Of Technology Hyderabad), Manohar Kaul (Indian Institute Of Technology Hyderabad), NeurIPS 2020
  211. "Statistical Optimal Transport posed as Learning Kernel Embedding", J. SakethaNath (IIT HYDERABAD), Pratik Jawanpuria (Microsoft IDC, HYDERABAD), NeurIPS 2020
  212. "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
  213. "Learning Colour Representations of Search Queries", Paridhi Maheshwari (Adobe Research), Manoj Ghuhan (Adobe Research), Vishwa Vinay (Adobe Research), SIGIR 2020
  214. "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
  215. "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
  216. "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
  217. "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
  218. "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
  219. "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
  220. "Robust Query Processing: Mission Possible", Jayant R. Haritsa (IISc), VLDB Journal 2020
  221. "UNMASQUE: A Hidden SQL Query Extractor", Kapil Khurana (IISc) and Jayant R. Haritsa (IISc), VLDB Journal 2020
  222. "GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation", Nikhil Goyal (IIT Delhi), Harsh Vardhan Jain (IIT Delhi), Sayan Ranu (IIT Delhi), WWW 2020

IKDD : ACM India Special Interest Group On Knowledge Discovery and Data Mining