Nan Rosemary Ke
Nan Rosemary Ke
PhD student, MILA, University of Montreal, Polytechnique Montreal
Verified email at polymtl.ca - Homepage
Title
Cited by
Cited by
Year
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
2222016
A deep reinforcement learning chatbot
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
Alexa challenge 2017, 2017
1582017
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
982017
Transferring knowledge from a RNN to a DNN
W Chan, NR Ke, I Lane
16th Annual Conference of the International Speech Communication Association …, 2015
722015
A meta-transfer objective for learning to disentangle causal mechanisms
Y Bengio, T Deleu, N Rahaman, R Ke, S Lachapelle, O Bilaniuk, A Goyal, ...
8th International Conference on Learning Representations (ICLR 2020), 2019
652019
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
582016
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
46*2018
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
46*2018
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
312018
Task loss estimation for sequence prediction
D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ...
arXiv preprint arXiv:1511.06456, 2015
272015
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
24*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
7th International Conference on Learning Representations (ICLR 2019), 2019
23*2019
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
19*2017
Learning neural causal models from unknown interventions
NR Ke, O Bilaniuk, A Goyal, S Bauer, H Larochelle, B Schölkopf, ...
arXiv preprint arXiv:1910.01075, 2019
152019
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
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
142018
Iclr 2018 reproducibility challenge
J Pineau, G Fried, R Ke, H Larochelle
ICML workshop on Reproducibility in Machine Learning, 2018
82018
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
72017
ICLR Reproducibility Challenge 2019
J Pineau, K Sinha, G Fried, RN Ke, H Larochelle
ReScience C 5 (2), 5, 2019
52019
Causally Correct Partial Models for Reinforcement Learning
DJ Rezende, I Danihelka, G Papamakarios, NR Ke, R Jiang, T Weber, ...
arXiv preprint arXiv:2002.02836, 2020
22020
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Articles 1–20