Nan Rosemary Ke
Nan Rosemary Ke
PhD student, MILA, University of Montreal, Polytechnique Montreal
Verified email at polymtl.ca
TitleCited byYear
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
1462016
A deep reinforcement learning chatbot
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
Alexa challenge 2017, 2017
842017
Transferring knowledge from a RNN to a DNN
W Chan, NR Ke, I Lane
16th Annual Conference of the International Speech Communication Association …, 2015
602015
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
522017
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
362016
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
25*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
222015
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
19*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
122018
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
92019
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
9*2017
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
82018
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
62018
ICLR 2018 reproducibility challenge
J Pineau, G Fried, RN Ke, H Larochelle
ICML workshop on Reproducibility in Machine Learning, 2018
52018
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
42017
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
3*2019
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
2*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
22017
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
The system can't perform the operation now. Try again later.
Articles 1–20