| Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013 | 1108 | 2013 |
| Inductive matrix completion for predicting gene–disease associations N Natarajan, IS Dhillon Bioinformatics 30 (12), i60-i68, 2014 | 341 | 2014 |
| Exploiting Longer Cycles for Link Prediction in Signed Networks KY Chiang, N Natarajan, A Tewari, IS Dhillon | 194 | 2011 |
| Consistent binary classification with generalized performance metrics O Koyejo, N Natarajan, PK Ravikumar, IS Dhillon Neural Information Processing Systems (NIPS), 2014 | 180 | 2014 |
| Prediction and clustering in signed networks: a local to global perspective KY Chiang, CJ Hsieh, N Natarajan, IS Dhillon, A Tewari The Journal of Machine Learning Research 15 (1), 1177-1213, 2014 | 167 | 2014 |
| PU learning for matrix completion CJ Hsieh, N Natarajan, I Dhillon International conference on machine learning, 2445-2453, 2015 | 164 | 2015 |
| Prediction and validation of gene-disease associations using methods inspired by social network analyses UM Singh-Blom, N Natarajan, A Tewari, JO Woods, IS Dhillon, ... PloS one 8 (5), e58977, 2013 | 159 | 2013 |
| Which app will you use next? collaborative filtering with interactional context N Natarajan, D Shin, IS Dhillon Proceedings of the 7th ACM conference on Recommender systems, 201-208, 2013 | 116 | 2013 |
| Consistent multilabel classification OO Koyejo, N Natarajan, PK Ravikumar, IS Dhillon Advances in Neural Information Processing Systems 28, 2015 | 95 | 2015 |
| Learning from binary labels with instance-dependent noise AK Menon, B Van Rooyen, N Natarajan Machine Learning 107, 1561-1595, 2018 | 59 | 2018 |
| Cost-Sensitive Learning with Noisy Labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari J. Mach. Learn. Res. 18 (1), 5666-5698, 2017 | 58 | 2017 |
| Community detection in content-sharing social networks VC Nagarajan Natarajan, Prithviraj Sen Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 55 | 2013 |
| Jigsaw: Large language models meet program synthesis N Jain, S Vaidyanath, A Iyer, N Natarajan, S Parthasarathy, S Rajamani, ... Proceedings of the 44th International Conference on Software Engineering …, 2022 | 53 | 2022 |
| Scalable affiliation recommendation using auxiliary networks V Vasuki, N Natarajan, Z Lu, B Savas, I Dhillon ACM Transactions on Intelligent Systems and Technology (TIST) 3 (1), 3, 2011 | 51 | 2011 |
| Affiliation recommendation using auxiliary networks V Vasuki, N Natarajan, Z Lu, IS Dhillon Proceedings of the fourth ACM conference on Recommender systems, 103-110, 2010 | 50 | 2010 |
| Learning from binary labels with instance-dependent corruption AK Menon, B Van Rooyen, N Natarajan arXiv preprint arXiv:1605.00751, 2016 | 42 | 2016 |
| Consistency analysis for binary classification revisited K Dembczyński, W Kotłowski, O Koyejo, N Natarajan International Conference on Machine Learning, 961-969, 2017 | 26 | 2017 |
| Distributional semantics meets multi-label learning V Gupta, R Wadbude, N Natarajan, H Karnick, P Jain, P Rai Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3747-3754, 2019 | 21 | 2019 |
| Active heteroscedastic regression K Chaudhuri, P Jain, N Natarajan International Conference on Machine Learning, 694-702, 2017 | 10 | 2017 |
| Optimal classification with multivariate losses N Natarajan, O Koyejo, P Ravikumar, I Dhillon International Conference on Machine Learning, 1530-1538, 2016 | 10 | 2016 |
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
