| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... 31th Annual Conference on Neural Information Processing Systems (NIPS 2017), 2017 | 155 | 2017 |
| Variance reduction in sgd by distributed importance sampling G Alain, A Lamb, C Sankar, A Courville, Y Bengio 4th International Conference on Learning Representations (ICLR 2016), 2015 | 74 | 2015 |
| Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study C Sankar, S Subramanian, C Pal, S Chandar, Y Bengio Proc. of ACL 2019, 2019 | 34 | 2019 |
| Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies S Chandar*, C Sankar*, E Vorontsov, SE Kahou, Y Bengio Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 15 | 2019 |
| TaskMaster-1: Toward a Realistic and Diverse Dialog Dataset B Byrne*, K Krishnamoorthi*, C Sankar*, A Neelakantan, D Duckworth, ... Proc. of EMNLP 2019, 2019 | 14 | 2019 |
| Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes C Sankar, S Ravi Proc. of SIGDIAL 2019, 2019 | 13 | 2019 |
| A deep reinforcement learning chatbot (short version) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1801.06700, 2018 | 11 | 2018 |
| The bottleneck simulator: a model-based deep reinforcement learning approach IV Serban, C Sankar, M Pieper, J Pineau, Y Bengio Journal of Artificial Intelligence Research (JAIR), 2018 | 10 | 2018 |
| Quasicyclic MDS codes for distributed storage with efficient exact repair A Thangaraj, C Sankar 2011 IEEE Information Theory Workshop, 45-49, 2011 | 9 | 2011 |
| The octopus approach to the Alexa competition: A deep ensemble-based socialbot IV Serban, C Sankar, S Zhang, Z Lin, S Subramanian, T Kim, S Chandar, ... Alexa Prize Proceedings, 2017 | 8 | 2017 |
| Neural assistant: Joint action prediction, response generation, and latent knowledge reasoning A Neelakantan, S Yavuz, S Narang, V Prasad, B Goodrich, D Duckworth, ... arXiv preprint arXiv:1910.14613, 2019 | 6 | 2019 |
| A Deep Reinforcement Learning Chatbot. CoRR abs/1709.02349 (2017) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 6 | 2017 |
| & Rajeshwar, S.(2017). A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian arXiv preprint arXiv:1709.02349, 0 | 5 | |
| Transferable Neural Projection Representations C Sankar, S Ravi, Z Kozareva arXiv preprint arXiv:1906.01605, 2019 | 3 | 2019 |
| Modeling Non-Goal Oriented Dialog With Discrete Attributes C Sankar, S Ravi 32nd Conference on Neural Information Processing Systems (NIPS 2018), 2018 | 3 | 2018 |
| On-Device Text Representations Robust To Misspellings via Projections C Sankar, S Ravi, Z Kozareva arXiv preprint arXiv:1908.05763, 2019 | 2* | 2019 |
| Pre-Trained Projection Networks for Transferable Natural Language Representations S Ravi, Z Kozareva, C Sankar US Patent App. 16/790,917, 2020 | | 2020 |
| ProFormer: Towards On-Device LSH Projection Based Transformers C Sankar, S Ravi, Z Kozareva arXiv preprint arXiv:2004.05801, 2020 | | 2020 |
| The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach I Vlad Serban, C Sankar, M Pieper, J Pineau, Y Bengio arXiv, arXiv: 1807.04723, 2018 | | 2018 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
