| A closer look at memorization in deep networks D Arpit, S Jastrzêbski, N Ballas, D Krueger, E Bengio, MS Kanwal, ... International Conference on Machine Learning, 233-242, 2017 | 513 | 2017 |
| Combining modality specific deep neural networks for emotion recognition in video SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ... Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 294 | 2013 |
| Conditional computation in neural networks for faster models E Bengio, PL Bacon, J Pineau, D Precup arXiv preprint arXiv:1511.06297, 2015 | 165 | 2015 |
| Deep nets don't learn via memorization D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ... | 42 | 2017 |
| Independently controllable features V Thomas, J Pondard, E Bengio, M Sarfati, P Beaudoin, MJ Meurs, ... arXiv preprint arXiv:1708.01289, 2017 | 39 | 2017 |
| Disentangling the independently controllable factors of variation by interacting with the world V Thomas, E Bengio, W Fedus, J Pondard, P Beaudoin, H Larochelle, ... arXiv preprint arXiv:1802.09484, 2018 | 36 | 2018 |
| Independently controllable factors V Thomas, J Pondard, E Bengio, M Sarfati, P Beaudoin, MJ Meurs, ... arXiv preprint arXiv:1708.01289, 2017 | 28 | 2017 |
| Independently controllable features E Bengio, V Thomas, J Pineau, D Precup, Y Bengio arXiv preprint arXiv:1703.07718, 2017 | 22 | 2017 |
| World knowledge for reading comprehension: Rare entity prediction with hierarchical lstms using external descriptions T Long, E Bengio, R Lowe, JCK Cheung, D Precup Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 20 | 2017 |
| A closer look at memorization in deep networks D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ... International Conference on Machine Learning (ICML), 2017 | 12 | 2017 |
| Interference and generalization in temporal difference learning E Bengio, J Pineau, D Precup International Conference on Machine Learning, 767-777, 2020 | 6 | 2020 |
| Deep conditional multi-task learning in atari J Romoff, E Bengio, J Pineau ICML Workshop, 2016 | 5 | 2016 |
| Conditional computation in neural networks using a decision-theoretic approach PL Bacon, E Bengio, J Pineau, D Precup Proceedings of the 2nd Multidisciplinary Conference on Reinforcement …, 2015 | 4 | 2015 |
| Attack and defense in cellular decision-making: lessons from machine learning TJ Rademaker, E Bengio, P François Physical Review X 9 (3), 031012, 2019 | 3 | 2019 |
| On Reinforcement Learning for Deep Neural Architectures: Conditional Computation with Stochastic Computation Policies E Bengio McGill University Libraries, 2017 | 2 | 2017 |
| Fooling the classifier: Ligand antagonism and adversarial examples TJ Rademaker, E Bengio, P François bioRxiv, 366724, 2018 | 1 | 2018 |
| TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? J Romoff, P Henderson, D Kanaa, E Bengio, A Touati, PL Bacon, J Pineau arXiv preprint arXiv:2007.02786, 2020 | | 2020 |
| Assessing Generalization in TD methods for Deep Reinforcement Learning E Bengio, D Precup, J Pineau | | 2019 |
| On Reinforcement Learning for Deep Neural Architectures E Bengio | | 2016 |
| Handwritten Digits Classification E Bengio, Y Wen, S Ruan | | |
Joelle PineauSchool of Computer Science, McGill UniversityVerified email at cs.mcgill.ca
