| A closer look at memorization in deep networks D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ... International conference on machine learning, 233-242, 2017 | 1223 | 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 | 373 | 2013 |
| Conditional computation in neural networks for faster models E Bengio, PL Bacon, J Pineau, D Precup arXiv preprint arXiv:1511.06297, 2015 | 259 | 2015 |
| Independently controllable factors V Thomas, J Pondard, E Bengio, M Sarfati, P Beaudoin, MJ Meurs, ... arXiv preprint arXiv:1708.01289, 2017 | 81 | 2017 |
| Deep nets don't learn via memorization D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ... | 59 | 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 | 54 | 2018 |
| Flow network based generative models for non-iterative diverse candidate generation E Bengio, M Jain, M Korablyov, D Precup, Y Bengio Advances in Neural Information Processing Systems 34, 27381-27394, 2021 | 53 | 2021 |
| Interference and generalization in temporal difference learning E Bengio, J Pineau, D Precup International Conference on Machine Learning, 767-777, 2020 | 39 | 2020 |
| Independently controllable features E Bengio, V Thomas, J Pineau, D Precup, Y Bengio arXiv preprint arXiv:1703.07718, 2017 | 38 | 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 | 30 | 2017 |
| GFlowNet foundations Y Bengio, T Deleu, EJ Hu, S Lahlou, M Tiwari, E Bengio arXiv preprint arXiv:2111.09266, 2021 | 27 | 2021 |
| Biological sequence design with gflownets M Jain, E Bengio, A Hernandez-Garcia, J Rector-Brooks, BFP Dossou, ... International Conference on Machine Learning, 9786-9801, 2022 | 11 | 2022 |
| Attack and defense in cellular decision-making: lessons from machine learning TJ Rademaker, E Bengio, P François Physical Review X 9 (3), 031012, 2019 | 8 | 2019 |
| Correcting momentum in temporal difference learning E Bengio, J Pineau, D Precup arXiv preprint arXiv:2106.03955, 2021 | 7 | 2021 |
| TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? J Romoff, P Henderson, D Kanaa, E Bengio, A Touati, PL Bacon, J Pineau Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 7* | 2021 |
| Trajectory balance: Improved credit assignment in gflownets N Malkin, M Jain, E Bengio, C Sun, Y Bengio arXiv preprint arXiv:2201.13259, 2022 | 6 | 2022 |
| Deep conditional multi-task learning in atari J Romoff, E Bengio, J Pineau Proc. ICML 48, 1-5, 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 | 5 | 2015 |
| Learning GFlowNets from partial episodes for improved convergence and stability K Madan, J Rector-Brooks, M Korablyov, E Bengio, M Jain, A Nica, T Bosc, ... arXiv preprint arXiv:2209.12782, 2022 | 2 | 2022 |
| On reinforcement learning for deep neural architectures: conditional computation with stochastic computation policies E Bengio McGill University (Canada), 2017 | 2 | 2017 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
