Nan Rosemary Ke
Nan Rosemary Ke
Google, Deepmind, Mila
Verified email at - Homepage
Cited by
Cited by
Toward causal representation learning
B Schölkopf, F Locatello, S Bauer, NR Ke, N Kalchbrenner, A Goyal, ...
Proceedings of the IEEE 109 (5), 612-634, 2021
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
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
A deep reinforcement learning chatbot
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
Alexa challenge 2017, 2017
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
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
Neural causal structure discovery from interventions
NR Ke, O Bilaniuk, A Goyal, S Bauer, H Larochelle, B Schölkopf, ...
Transactions on Machine Learning Research, 2023
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
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
Transferring knowledge from a RNN to a DNN
W Chan, NR Ke, I Lane
16th Annual Conference of the International Speech Communication Association …, 2015
Coordination among neural modules through a shared global workspace
A Goyal, A Didolkar, A Lamb, K Badola, NR Ke, N Rahaman, J Binas, ...
arXiv preprint arXiv:2103.01197, 2021
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
Neural production systems
AG ALIAS PARTH GOYAL, A Didolkar, NR Ke, C Blundell, P Beaudoin, ...
Advances in Neural Information Processing Systems 34, 25673-25687, 2021
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
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
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
Retrieval-augmented reinforcement learning
A Goyal, A Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ...
International Conference on Machine Learning, 7740-7765, 2022
Learning to induce causal structure
NR Ke, S Chiappa, J Wang, A Goyal, J Bornschein, M Rey, T Weber, ...
arXiv preprint arXiv:2204.04875, 2022
Fast and slow learning of recurrent independent mechanisms
K Madan, NR Ke, A Goyal, B Schölkopf, Y Bengio
arXiv preprint arXiv:2105.08710, 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
NR Ke, AR Didolkar, S Mittal, A Goyal, G Lajoie, S Bauer, DJ Rezende, ...
NeurIPS 2021, 2021
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