| Wasserstein gan M Arjovsky, S Chintala, L Bottou arXiv preprint arXiv:1701.07875, 2017 | 16602* | 2017 |
| Improved training of wasserstein gans I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, A Courville arXiv preprint arXiv:1704.00028, 2017 | 11493 | 2017 |
| Towards Principled Methods for Training Generative Adversarial Networks M Arjovsky, L Bottou arXiv preprint arXiv:1701.04862, 2017 | 2885 | 2017 |
| Invariant Risk Minimization M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz arXiv preprint arXiv:1907.02893, 2019 | 2053 | 2019 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... arXiv preprint arXiv:1606.00704, 2016 | 1790 | 2016 |
| Unitary evolution recurrent neural networks M Arjovsky, A Shah, Y Bengio International Conference on Machine Learning, 1120-1128, 2016 | 887 | 2016 |
| Never Give Up: Learning Directed Exploration Strategies AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ... arXiv preprint arXiv:2002.06038, 2020 | 330 | 2020 |
| Symplectic Recurrent Neural Networks Z Chen, J Zhang, M Arjovsky, L Bottou arXiv preprint arXiv:1909.13334, 2019 | 238 | 2019 |
| Simple data balancing achieves competitive worst-group-accuracy BY Idrissi, M Arjovsky, M Pezeshki, D Lopez-Paz arXiv preprint arXiv:2110.14503, 2021 | 135 | 2021 |
| Out of Distribution Generalization in Machine Learning M Arjovsky New York University, 2020 | 85 | 2020 |
| Geometrical insights for implicit generative modeling L Bottou, M Arjovsky, D Lopez-Paz, M Oquab Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018 | 50 | 2018 |
| Linear unit tests for invariance discovery B Aubin, M Arjovsky, L Bottou, D Lopez-Paz | 35 | 2020 |
| Optimizing transcoder quality targets using a neural network with an embedded bitrate model M Covell, M Arjovsky, Y Lin, A Kokaram Electronic Imaging 2016 (2), 1-7, 2016 | 28 | 2016 |
| Why does throwing away data improve worst-group error? K Chaudhuri, K Ahuja, M Arjovsky, D Lopez-Paz International Conference on Machine Learning, 4144-4188, 2023 | 9 | 2023 |
| Low Distortion Block-Resampling with Spatially Stochastic Networks SJ Hong, M Arjovsky, D Barnhart, I Thompson arXiv preprint arXiv:2006.05394, 2020 | 7 | 2020 |
| Saddle-free Hessian-free optimization M Arjovsky arXiv preprint arXiv:1506.00059, 2015 | 2 | 2015 |
Leon BottouFacebook AI Research在 bottou.org 的电子邮件经过验证
