| 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 | 1615 | 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 | 411 | 2013 |
| Conditional computation in neural networks for faster models E Bengio, PL Bacon, J Pineau, D Precup arXiv preprint arXiv:1511.06297, 2015 | 299 | 2015 |
| 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 | 139 | 2021 |
| Independently controllable factors V Thomas, J Pondard, E Bengio, M Sarfati, P Beaudoin, MJ Meurs, ... arXiv preprint arXiv:1708.01289, 2017 | 90 | 2017 |
| Gflownet foundations Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio Journal of Machine Learning Research 24 (210), 1-55, 2023 | 80 | 2023 |
| Deep nets don't learn via memorization D Krueger, N Ballas, S Jastrzebski, D Arpit, MS Kanwal, T Maharaj, ... | 63 | 2017 |
| 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 | 61 | 2022 |
| 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 | 61 | 2018 |
| Interference and generalization in temporal difference learning E Bengio, J Pineau, D Precup International Conference on Machine Learning, 767-777, 2020 | 54 | 2020 |
| Trajectory balance: Improved credit assignment in gflownets N Malkin, M Jain, E Bengio, C Sun, Y Bengio Advances in Neural Information Processing Systems 35, 5955-5967, 2022 | 50 | 2022 |
| Independently controllable features E Bengio, V Thomas, J Pineau, D Precup, Y Bengio arXiv preprint arXiv:1703.07718, 2017 | 43 | 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 | 33 | 2017 |
| Learning GFlowNets from partial episodes for improved convergence and stability K Madan, J Rector-Brooks, M Korablyov, E Bengio, M Jain, AC Nica, ... International Conference on Machine Learning, 23467-23483, 2023 | 19 | 2023 |
| Multi-objective gflownets M Jain, SC Raparthy, A Hernández-Garcıa, J Rector-Brooks, Y Bengio, ... International Conference on Machine Learning, 14631-14653, 2023 | 18 | 2023 |
| Towards Understanding and Improving GFlowNet Training MW Shen, E Bengio, E Hajiramezanali, A Loukas, K Cho, T Biancalani arXiv preprint arXiv:2305.07170, 2023 | 13 | 2023 |
| Attack and defense in cellular decision-making: lessons from machine learning TJ Rademaker, E Bengio, P François Physical Review X 9 (3), 031012, 2019 | 11 | 2019 |
| Correcting momentum in temporal difference learning E Bengio, J Pineau, D Precup arXiv preprint arXiv:2106.03955, 2021 | 10 | 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 | 8* | 2021 |
| Evaluating generalization in gflownets for molecule design AC Nica, M Jain, E Bengio, CH Liu, M Korablyov, MM Bronstein, Y Bengio ICLR2022 Machine Learning for Drug Discovery, 2022 | 7 | 2022 |
Doina PrecupDeepMind and McGill UniversityZweryfikowany adres z cs.mcgill.ca
