| Zoneout: Regularizing rnns by randomly preserving hidden activations D Krueger, T Maharaj, J Kramár, M Pezeshki, N Ballas, NR Ke, A Goyal, ... 5th International Conference on Learning Representations (ICLR 2017), 2016 | 164 | 2016 |
| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... Alexa challenge 2017, 2017 | 97 | 2017 |
| Transferring knowledge from a RNN to a DNN W Chan, NR Ke, I Lane 16th Annual Conference of the International Speech Communication Association …, 2015 | 60 | 2015 |
| Z-Forcing: Training stochastic recurrent networks AGAP GOYAL, A Sordoni, MA Côté, N Ke, Y Bengio 31th Annual Conference on Neural Information Processing Systems (NIPS 2017 …, 2017 | 58 | 2017 |
| Cascading bandits for large-scale recommendation problems S Zong, H Ni, K Sung, NR Ke, Z Wen, B Kveton 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016, 2016 | 39 | 2016 |
| Twin networks: Matching the future for sequence generation D Serdyuk*, NR Ke*, A Sordoni, A Trischler, C Pal, Y Bengio 6th International Conference on Learning Representations (ICLR 2018), 2018 | 29* | 2018 |
| Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding NR Ke, A Goyal, O Bilaniuk, J Binas, MC Mozer, C Pal, Y Bengio 32nd Conference on Neural Information Processing Systems (NIPS 2018 …, 2018 | 23* | 2018 |
| Task loss estimation for sequence prediction D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ... arXiv preprint arXiv:1511.06456, 2015 | 23 | 2015 |
| A meta-transfer objective for learning to disentangle causal mechanisms Y Bengio, T Deleu, N Rahaman, R Ke, S Lachapelle, O Bilaniuk, A Goyal, ... arXiv preprint arXiv:1901.10912, 2019 | 17 | 2019 |
| Ethical challenges in data-driven dialogue systems P Henderson, K Sinha, N Angelard-Gontier, NR Ke, G Fried, R Lowe, ... Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2018 | 14 | 2018 |
| Focused Hierarchical RNNs for Conditional Sequence Processing NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ... 35th International Conference on Machine Learning (ICML 2018), 2018 | 12 | 2018 |
| Variational walkback: Learning a transition operator as a stochastic recurrent net AGAP Goyal, N Ke, S Ganguli, Y Bengio 31th Annual Conference on Neural Information Processing Systems (NIPS 2017 …, 2017 | 11* | 2017 |
| 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 | 7 | 2018 |
| Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future NR Ke, A Singh, A Touati, A Goyal, Y Bengio, D Parikh, D Batra ICLR 2019, 2019 | 5* | 2019 |
| ICLR 2018 reproducibility challenge J Pineau, G Fried, RN Ke, H Larochelle ICML workshop on Reproducibility in Machine Learning, 2018 | 5 | 2018 |
| Actual: Actor-critic under adversarial learning A Goyal, NR Ke, A Lamb, RD Hjelm, C Pal, J Pineau, Y Bengio arXiv preprint arXiv:1711.04755, 2017 | 4 | 2017 |
| 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 | 4 | 2017 |
| h-detach: Modifying the LSTM Gradient Towards Better Optimization B Kanuparthi, D Arpit, G Kerg, NR Ke, I Mitliagkas, Y Bengio 7th International Conference on Learning Representations (ICLR 2019), 2018 | 3* | 2018 |
| Learning Neural Causal Models from Unknown Interventions NR Ke, O Bilaniuk, A Goyal, S Bauer, H Larochelle, C Pal, Y Bengio arXiv preprint arXiv:1910.01075, 2019 | | 2019 |
| Adversarial Gain P Henderson, K Sinha, RN Ke, J Pineau arXiv preprint arXiv:1811.01302, 2018 | | 2018 |
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
