| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in neural information processing systems 33, 17283-17297, 2020 | 2430 | 2020 |
| Rt-2: Vision-language-action models transfer web knowledge to robotic control B Zitkovich, T Yu, S Xu, P Xu, T Xiao, F Xia, J Wu, P Wohlhart, S Welker, ... Conference on Robot Learning, 2165-2183, 2023 | 956* | 2023 |
| Ausum: approach for unsupervised bug report summarization S Mani, R Catherine, VS Sinha, A Dubey Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012 | 156 | 2012 |
| Variance reduction in stochastic gradient Langevin dynamics KA Dubey, S J Reddi, SA Williamson, B Poczos, AJ Smola, EP Xing Advances in neural information processing systems 29, 2016 | 112 | 2016 |
| Contextual explanation networks M Al-Shedivat, A Dubey, E Xing Journal of Machine Learning Research 21 (194), 1-44, 2020 | 108 | 2020 |
| Parallel Markov chain Monte Carlo for nonparametric mixture models S Williamson, A Dubey, E Xing Proceedings of the 30th International Conference on Machine Learning, 98-106, 2013 | 106 | 2013 |
| Transformation Autoregressive Networks JB Oliva, A Dubey, M Zaheer, B Póczos, R Salakhutdinov, EP Xing, ... arXiv preprint arXiv:1801.09819, 2018 | 99 | 2018 |
| Bayesian nonparametric kernel-learning JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing Artificial intelligence and statistics, 1078-1086, 2016 | 87 | 2016 |
| Learning answer-entailing structures for machine comprehension M Sachan, K Dubey, E Xing, M Richardson Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 84 | 2015 |
| A nonparametric mixture model for topic modeling over time A Dubey, A Hefny, S Williamson, EP Xing Proceedings of the 2013 SIAM international conference on data mining, 530-538, 2013 | 81 | 2013 |
| Scalable hierarchical agglomerative clustering N Monath, KA Dubey, G Guruganesh, M Zaheer, A Ahmed, A McCallum, ... Proceedings of the 27th ACM SIGKDD Conference on knowledge discovery & data …, 2021 | 59* | 2021 |
| Estimating accuracy from unlabeled data: A bayesian approach EA Platanios, A Dubey, T Mitchell International Conference on Machine Learning, 1416-1425, 2016 | 50 | 2016 |
| From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems M Sachan, A Dubey, E Xing Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 46 | 2017 |
| A cluster-level semi-supervision model for interactive clustering A Dubey, I Bhattacharya, S Godbole Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010 | 41 | 2010 |
| Learning pipelines with limited data and domain knowledge: A study in parsing physics problems M Sachan, KA Dubey, TM Mitchell, D Roth, EP Xing Advances in Neural Information Processing Systems 31, 2018 | 36 | 2018 |
| Science question answering using instructional materials M Sachan, A Dubey, EP Xing arXiv preprint arXiv:1602.04375, 2016 | 29 | 2016 |
| Spatial compactness meets topical consistency: Jointly modeling links and content for community detection M Sachan, A Dubey, S Srivastava, EP Xing, E Hovy Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 29 | 2014 |
| Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks M Sachan, A Dubey, EH Hovy, TM Mitchell, D Roth, EP Xing Computational Linguistics 45 (4), 627-665, 2020 | 28 | 2020 |
| Large-scale randomized-coordinate descent methods with non-separable linear constraints S Reddi, A Hefny, C Downey, A Dubey, S Sra arXiv preprint arXiv:1409.2617, 2014 | 25 | 2014 |
| Diversity in ranking via resistive graph centers A Dubey, S Chakrabarti, C Bhattacharyya Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 20 | 2011 |
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