(Since August 2020)
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  1. "A Systematic Evaluation of Object Detection Networks for Scientific Plots.", Pritha Ganguly, Nitesh Methani, Mitesh M. Khapra, Pratyush Kumar (IIT Madras), AAAI 2021
  2. "Adversarial Permutation Guided Node Representations for Link Prediction", Indradyumna Roy, Abir De, Soumen Chakrabarti (IIT Bombay), AAAI 2021
  3. "An Enhanced Advising Model in Teacher-Student Framework using State Categorization.", Anand, D. (IIIT Hyderabad), Gupta, V. (IIIT HYderabad), Paruchuri, P. (IIIT Hyderabad), and Ravindran, B. (IIT Madras), AAAI 2021
  4. "Bidding in Smart Grid PDAs: Theory, Analysis and Strategy", Susobhan Ghosh (IIIT Hyderabad), Sujit Gujar (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Easwar Subramanian (TCS Research), Sanjay P. Bhat (TCS Research), AAAI 2021
  5. "Classification Under Human Assistance", Abir De (IIT Bombay), Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez (MPI), AAAI 2021
  6. "Differentially Private Link Prediction with Protected Connections", Abir De, Soumen Chakrabarti (IIT Bombay), AAAI 2021
  7. "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
  8. "Estimation of Spectral Risk Measures", Ajay Kumar Pandey (IIT Madras), Prashanth L. A. (IIT Madras), Sanjay P. Bhat (TCS Research), AAAI 2021
  9. "Few-shot Lifelong Learning", Pratik Mazumder (IIT Kanpur), Pravendra Singh (Independent), Piyush Rai (IIT Kanpur), AAAI 2021
  10. "Generalized Adversarially Learned Inference", Yatin Dandi (IIT Kanpur), Homanga Bharadhwaj (U. Toronto), Abhishek Kumar (Google Brain), Piyush Rai (IIT Kanpur), AAAI 2021
  11. "GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning", KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, AAAI 2021
  12. "More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation", Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (IIT Patna), AAAI 2021
  13. "Relational Boosted Bandits.", Kakadiya, A. (IIT Madras), Natarajan, S. (UT Dallas), and Ravindran, B. (IIT Madras), AAAI 2021
  14. "The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT.", Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra (IIT Madras), AAAI 2021
  15. "Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.", Venugopal, A. (IIT Madras), Bondi, E. (Harvard), Kamarthi, H. (Georgia Tech.), Dholakia, K. (IIT Madras), Ravindran, B. (IIT Madras), and Tambe, M. (Harvard), AAMAS 2021
  16. "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
  17. "Explanations for CommonSenseQA: New Dataset and Models", Shourya Aggarwal (IIT Delhi), Divyanshu Mandowara (IIT Delhi), Vishwajeet Agrawal, Dinesh Khandelwal (IBM Research India), Parag Singla (IIT Delhi) and Dinesh Garg (IBM Research India)., ACL 2021
  18. "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
  19. "Question Answering over Temporal Knowledge Graphs", Apoorv Saxena (IISc), Soumen Chakrabarti (IIT Bombay) and Partha Talukdar (Google Research India), ACL 2021
  20. "Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.", Dinesh Raghu (IIT Delhi), Atishya Jain (IIT Delhi), Mausam (IIT Delhi), Sachindra Joshi (IBM Research India)., ACL (Findings) 2021
  21. "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 (Findings) 2021
  22. "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 (Findings) 2021
  23. "OKGIT: Open Knowledge Graph Link Prediction with Implicit Types", Chandrahas, Partha Talukdar (IISc), ACL (Findings) 2021
  24. "Reordering Examples Helps during Priming-based Few-shot Learning", Sawan Kumar, Partha Talukdar (IISc), ACL (Findings) 2021
  25. "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.), Piyush Rai (IIT Kanpur), CVPR 2021
  26. "Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections", Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh A. P. (IIT Delhi), CVPR 2021
  27. "Rectification-based Knowledge Retention for Continual Learning", Pravendra Singh (Independent), Pratik Mazumder (IIT Kanpur), Vinay Namboodiri (University of Bath, UK), Piyush Rai (IIT Kanpur), CVPR 2021
  28. "Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces.", Yatin Nandwani, Deepanshu Jindal, Mausam and Parag Singla (IIT Delhi), ICLR 2021
  29. "No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks", Shyamgopal Karthik (CVIT, IIIT Hyderabad, India), Ameya Prabhu (University of Oxford), Puneet K. Dokania (University of Oxford & Five AI Limited), Vineet Gandhi (CVIT, IIIT Hyderabad, India), ICLR 2021
  30. "Adversarial Dueling Bandits", Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Tomer Koren (Tel Aviv University and Google), Yishay Mansour (Google and Tel Aviv University), ICML 2021
  31. "Bayesian Structural Adaptation for Continual Learning", Abhishek Kumar, Sunabha Chatterjee, Piyush Rai (IIT Kanpur), ICML 2021
  32. "Confidence-Budget Matching for Sequential Budgeted Learning ", Yonathan Efroni (Technion), Nadav Merlis (Technion), Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Shie Mannor (Technion), ICML 2021
  33. "Domain Generalization using Causal Matching", Divyat Mahajan (Microsoft Research India), Shruti Tople (Microsoft Research), Amit Sharma (Microsoft Research), ICML 2021
  34. "Dueling Convex Optimization", Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Tomer Koren (Tel Aviv University and Google), Yishay Mansour (Google and Tel Aviv University), ICML 2021
  35. "Finding k in Latent k- polytope", Chiranjib Bhattacharyya (Indian Institute of Science), Ravindran Kannan (Microsoft Research India), Amit Kumar (IIT Delhi), ICML 2021
  36. "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), Fahad Panolan (Indian Institute of Technology Hyderabad), ICML 2021
  37. "Grad-Match: A Gradient Matching based Data Subset Selection for Efficient Learning", Krishnateja Killamsetty (University of Texas at Dallas), Durga S (Indian Institute of Technology Bombay), Baharan Mirzasoleiman (Stanford University), Ganesh Ramakrishnan (IIT Bombay), Abir De (IIT Bombay), Rishabh Iyer (University of Texas at Dallas), ICML 2021
  38. "On Characterizing GAN Convergence Through Proximal Duality Gap", Sahil Sidheekh, Aroof Aimen, Narayanan Chatapuram Krishnan (Indian Institute of Techology, Ropar), ICML 2021
  39. "On the Problem of Underranking in Group-Fair Ranking", Sruthi Gorantla (Indian Institute of Science), Amit Jayant Deshpande (Microsoft Research), Anand Louis (Indian Institute of Science), ICML 2021
  40. "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics", Avik Pal (Indian Institute of Technology Kanpur), Yingbo Ma (Julia Computing), Viral Shah (Julia Computing), Christopher Rackauckas (MIT), ICML 2021
  41. "Optimal regret algorithm for Pseudo-1d Bandit Convex Optimizationrch), Prateek Jain (Google Research)", Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Nagarajan Natarajan (Microsoft Research), Praneeth Netrapalli (Microsoft Research), ICML 2021
  42. "RRL: Resnet as representation for Reinforcement Learning", Rutav Shah (Indian Institute of Technology, Kharagpur), Vikash Kumar (Univ. Of Washington), ICML 2021
  43. "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), ICML 2021
  44. "Training Data Subset Selection for Regression with Controlled Validation ErrorT Bombay)", Krishnateja Killamsetty (UT Dallas), Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh Iyer (IIT Bombay), ICML 2021
  45. "Knowledge Consolidation based Class Incremental Online Learning with Limited Data", Mohammed Asad Karim, Vinay Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai, IJCAI 2021
  46. "TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators.", Shreshth Tuli (IIT Delhi, Imperial College London), Rajas Bansal, Rohan Paul, Mausam (IIT Madras), IJCAI 2021
  47. "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), Journal of the ACM 2021
  48. "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), Soumen Chakrabarti (IIT Bombay), SIGIR 2021
  49. "Diversity driven Query Rewriting in Search Advertising", Akash Kumar Mohankumar (IIT Madras), Nikit Begwani (Microsoft India), Amit K Singh (Microsoft), SIGKDD 2021
  50. "Fast One-class Classification using Class Boundary-preserving Random Projections", Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur (IIT Delhi), SIGKDD 2021
  51. "Generalized Zero-Shot Extreme Multi-label Learning", Nilesh Gupta (Microsoft Research India), Sakina Bohra (Microsoft), Yashoteja Prabhu (Microsoft Research), Saurabh Purohit (Microsoft Research), Manik Varma (Microsoft Research), SIGKDD 2021
  52. "Micro-climate Prediction - Multi scale encoder-decoder based deep learning framework", Peeyush Kumar (Microsoft Research), Ranveer Chandra (Microsoft Research), Chetan Bansal (Microsoft), Shivkumar Kalyanaraman (Microsoft),Tanuja Ganu (Microsoft Research), SIGKDD 2021
  53. "Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter", Snehil Dahiya (IIIT-D), Shalini Sharma (IIIT-D), Dhruv Sahnan (IIIT-D), Vasu Goel (IIIT-D), Angshul Majumdar (IIIT-D), Victor Elvira (University of Edinburgh), Emilie Chouzenoux (CentraleSupélec and Université Paris-Est Marne la Vallée), Anil Bandhakavi (Logically); Tanmoy Chakraborty (IIIT-D),, SIGKDD 2021
  54. "Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing", Rajarshee Mitra (Microsoft), Rhea Jain (Microsoft), Aditya Srikanth Veerubhotla (Microsoft), Manish Gupta (Microsoft,India), SIGKDD 2021
  55. "DECAF : Deep Extreme Classification with Label Features", Anshul Mittal (IIT Delhi), Kunal Dahiya (IIT Delhi), Sheshansh Agrawal (Microsoft), Deepak Saini (Microsoft), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research), WSDM 2021
  56. "Long Horizon Forecasting with Temporal Point Processes", Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi (IIT Bombay), WSDM 2021
  57. "ECLARE: Extreme Classification with Label Graph Correlations", Anshul Mittal (IIT Delhi), Noveen Sachdeva (UC San Diego), Sheshansh Agrawal (Microsoft Research), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research), WWW 2021
  58. "Joint Spatio-Textual Reasoning for Answering Tourism Questions.", Danish Contractor (IBM Research and IIT Delhi), Shashank Goel, Mausam and Parag Singla (IIT Delhi)., WWW 2021
  59. "Recurrent Image Annotation With Explicit Inter-Label Dependencies", Ayushi Dutta (IIIT Hyderabad), Yashaswi Verma (IIT Jodhpur), C.V. Jawahar (IIIT Hyderabad), ECCV 2020
  60. "Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search,", Ayush Tyagi, Sameer Ambekar, Prashant Pandey and Prathosh AP (IIT Delhi), ECCV 2020
  61. "Table Structure Recognition using Top-Down and Bottom-Up Cues", Sachin Raja, Ajoy Mondal and C. V. Jawahar (IIIT Hyderabad), ECCV 2020
  62. "Calibrating CNNs for Lifelong Learning", Pravendra Singh (IIT Kanpur), Vinay Verma (Duke U.), Pratik Mazumder (IIT Kanpur), Lawrence Carin (Duke U.), Piyush Rai (IIT Kanpur), NeurIPS 2020
  63. "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
  64. "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
  65. "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
  66. "MOReL : Model-Based Offline Reinforcement Learning", R. Kidambi (Cornell), A. Rajeswaran (U. Washington), P. Netrapalli (Microsoft Research India) and T. Joachims (Cornell), NeurIPS 2020
  67. "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
  68. "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
  69. "Robust Query Processing: Mission Possible", Jayant R. Haritsa (IISc), Proc. VLDB Endow. 2020
  70. "UNMASQUE: A Hidden SQL Query Extractor", Kapil Khurana, Jayant R. Haritsa (IISc), Proc. VLDB Endow. 2020