Are gans created equal? a large-scale study M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet arXiv preprint arXiv:1711.10337, 2017 | 515 | 2017 |
The gan landscape: Losses, architectures, regularization, and normalization K Kurach, M Lucic, X Zhai, M Michalski, S Gelly | 99 | 2018 |
A large-scale study on regularization and normalization in GANs K Kurach, M Lučić, X Zhai, M Michalski, S Gelly International Conference on Machine Learning, 3581-3590, 2019 | 60 | 2019 |
Towards accurate generative models of video: A new metric & challenges T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ... arXiv preprint arXiv:1812.01717, 2018 | 47 | 2018 |
Are GANs created equal M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet A large-scale study. arXiv e-prints 2 (4), 2017 | 46 | 2017 |
Google research football: A novel reinforcement learning environment K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4501-4510, 2020 | 27 | 2020 |
Seed rl: Scalable and efficient deep-rl with accelerated central inference L Espeholt, R Marinier, P Stanczyk, K Wang, M Michalski arXiv preprint arXiv:1910.06591, 2019 | 22 | 2019 |
The visual task adaptation benchmark X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ... | 20 | 2019 |
What matters in on-policy reinforcement learning? a large-scale empirical study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... arXiv preprint arXiv:2006.05990, 2020 | 16 | 2020 |
A large-scale study of representation learning with the visual task adaptation benchmark X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ... arXiv preprint arXiv:1910.04867, 2019 | 15 | 2019 |
FVD: A new metric for video generation T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ... | 4 | 2019 |
Failover operation on a replicated distributed database system while maintaining access invariance JCW Visser, M Michalski, R Blum, SV Gheorghita, JM Andersen US Patent 8,856,583, 2014 | 4 | 2014 |
SIO .NET Plug&Play Contest System M Michalski, M Kosieradzki, W Rygielski, P Stańczyk, K Ciebiera, K Diks Perspectives on Computer Science Competitions for (High School) Students, 2005 | 3 | 2005 |
Google Research Football: A Novel Reinforcement Learning Environment A Raichuk, C Riquelme, D Vincent, K Kurach, L Espeholt, M Michalski, ... | 1 | 2019 |
MemGEN: Memory is All You Need S Gelly, K Kurach, M Michalski, X Zhai arXiv preprint arXiv:1803.11203, 2018 | | 2018 |