Epopt: Learning robust neural network policies using model ensembles A Rajeswaran, S Ghotra, B Ravindran, S Levine Fifth International Conference on Learning Representations (ICLR 2017 …, 2016 | 407 | 2016 |
An autoencoder approach to learning bilingual word representations S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ... Advances in neural information processing systems 27, 2014 | 390 | 2014 |
Efficient computation of the Shapley value for game-theoretic network centrality TP Michalak, KV Aadithya, PL Szczepanski, B Ravindran, NR Jennings Journal of Artificial Intelligence Research 46, 607-650, 2013 | 216 | 2013 |
Diversity driven attention model for query-based abstractive summarization P Nema, M Khapra, A Laha, B Ravindran Fifty-Fifth Annual Meeting of the Association of Computational Linguistics …, 2017 | 209 | 2017 |
Correlational neural networks S Chandar, MM Khapra, H Larochelle, B Ravindran Neural computation, 2016 | 197 | 2016 |
Latent dirichlet allocation based multi-document summarization R Arora, B Ravindran Proceedings of the second workshop on Analytics for noisy unstructured text …, 2008 | 192 | 2008 |
Accurate mobile robot localization in indoor environments using bluetooth AN Raghavan, H Ananthapadmanaban, MS Sivamurugan, B Ravindran 2010 IEEE international conference on robotics and automation, 4391-4396, 2010 | 149 | 2010 |
An algebraic approach to abstraction in reinforcement learning B Ravindran University of Massachusetts Amherst, 2004 | 124 | 2004 |
SMDP homomorphisms: An algebraic approach to abstraction in semi markov decision processes B Ravindran, AG Barto International Joint Conference on Artificial Intelligence (IJCAI), 1011-1016, 2003 | 124 | 2003 |
Learning to repeat: Fine grained action repetition for deep reinforcement learning S Sharma, A Srinivas, B Ravindran Fifth International Conference on Learning Representations (ICLR 2017 …, 2017 | 111 | 2017 |
Model minimization in hierarchical reinforcement learning B Ravindran, AG Barto Abstraction, Reformulation, and Approximation: 5th International Symposium …, 2002 | 111 | 2002 |
Advances in knowledge discovery and data mining MJ Zaki, JX Yu, B Ravindran, V Pudi Lecture Notes in Computer Science 6118, 2010 | 103* | 2010 |
Improving legal information retrieval using an ontological framework M Saravanan, B Ravindran, S Raman Artificial Intelligence and Law 17, 101-124, 2009 | 101 | 2009 |
Towards transparent and explainable attention models AK Mohankumar, P Nema, S Narasimhan, MM Khapra, BV Srinivasan, ... 58th Annual Meeting of the Association for Computational Linguistics (ACL …, 2020 | 90 | 2020 |
Adaptive network intrusion detection system using a hybrid approach R Rangadurai Karthick, VP Hattiwale, B Ravindran Communication Systems and Networks (COMSNETS), 2012 Fourth International …, 2012 | 88 | 2012 |
A tutorial survey of reinforcement learning S Sathiya Keerthi, B Ravindran Sadhana 19 (6), 851-889, 1994 | 88 | 1994 |
Commit: A scalable approach to mining communication motifs from dynamic networks S Gurukar, S Ranu, B Ravindran Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 84 | 2015 |
Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources in the same domain J Rajendran, A Srinivas, MM Khapra, P Prasanna, B Ravindran Fifth International Conference on Learning Representations (ICLR 2017 …, 2015 | 81* | 2015 |
Overtaking maneuvers in simulated highway driving using deep reinforcement learning M Kaushik, V Prasad, KM Krishna, B Ravindran 2018 IEEE intelligent vehicles symposium (iv), 1885-1890, 2018 | 79 | 2018 |
A Survey of Adversarial Defences and Robustness in NLP G Shreya, S Doddapaneni, MM Khapra, B Ravindran ACM Computing Surveys, 2023 | 78* | 2023 |