Combining online and offline knowledge in UCT S Gelly, D Silver Proceedings of the 24th international conference on Machine learning, 273-280, 2007 | 684 | 2007 |
Are gans created equal? a large-scale study M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet arXiv preprint arXiv:1711.10337, 2017 | 556 | 2017 |
Wasserstein auto-encoders I Tolstikhin, O Bousquet, S Gelly, B Schoelkopf arXiv preprint arXiv:1711.01558, 2017 | 546 | 2017 |
Modification of UCT with patterns in Monte-Carlo Go S Gelly, Y Wang, R Munos, O Teytaud INRIA, 2006 | 494 | 2006 |
Modification of UCT with patterns in Monte-Carlo Go S Gelly, Y Wang, R Munos, O Teytaud INRIA, 2006 | 494 | 2006 |
Challenging common assumptions in the unsupervised learning of disentangled representations F Locatello, S Bauer, M Lucic, G Raetsch, S Gelly, B Schölkopf, O Bachem international conference on machine learning, 4114-4124, 2019 | 386 | 2019 |
Monte-Carlo tree search and rapid action value estimation in computer Go S Gelly, D Silver Artificial Intelligence 175 (11), 1856-1875, 2011 | 360 | 2011 |
Exploration exploitation in go: UCT for Monte-Carlo go S Gelly, Y Wang NIPS: Neural Information Processing Systems Conference On-line trading of …, 2006 | 271 | 2006 |
Exploration exploitation in go: UCT for Monte-Carlo go S Gelly, Y Wang NIPS: Neural Information Processing Systems Conference On-line trading of …, 2006 | 271 | 2006 |
The grand challenge of computer Go: Monte Carlo tree search and extensions S Gelly, L Kocsis, M Schoenauer, M Sebag, D Silver, C Szepesvári, ... Communications of the ACM 55 (3), 106-113, 2012 | 252 | 2012 |
An image is worth 16x16 words: Transformers for image recognition at scale A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ... arXiv preprint arXiv:2010.11929, 2020 | 187 | 2020 |
Adagan: Boosting generative models I Tolstikhin, S Gelly, O Bousquet, CJ Simon-Gabriel, B Schölkopf arXiv preprint arXiv:1701.02386, 2017 | 166 | 2017 |
Modifications of UCT and sequence-like simulations for Monte-Carlo Go Y Wang, S Gelly 2007 IEEE Symposium on Computational Intelligence and Games, 175-182, 2007 | 158 | 2007 |
Achieving master level play in 9 x 9 computer go. S Gelly, D Silver AAAI 8, 1537-1540, 2008 | 157 | 2008 |
Parameter-efficient transfer learning for NLP N Houlsby, A Giurgiu, S Jastrzebski, B Morrone, Q De Laroussilhe, ... International Conference on Machine Learning, 2790-2799, 2019 | 139 | 2019 |
Assessing generative models via precision and recall MSM Sajjadi, O Bachem, M Lucic, O Bousquet, S Gelly arXiv preprint arXiv:1806.00035, 2018 | 135 | 2018 |
On mutual information maximization for representation learning M Tschannen, J Djolonga, PK Rubenstein, S Gelly, M Lucic arXiv preprint arXiv:1907.13625, 2019 | 112 | 2019 |
The gan landscape: Losses, architectures, regularization, and normalization K Kurach, M Lucic, X Zhai, M Michalski, S Gelly | 105 | 2018 |
Episodic curiosity through reachability N Savinov, A Raichuk, R Marinier, D Vincent, M Pollefeys, T Lillicrap, ... arXiv preprint arXiv:1810.02274, 2018 | 96 | 2018 |
Multi-armed bandit, dynamic environments and meta-bandits C Hartland, S Gelly, N Baskiotis, O Teytaud, M Sebag | 96 | 2006 |