| mixup: Beyond Empirical Risk Minimization H Zhang, M Cisse, YN Dauphin, D Lopez-Paz arXiv preprint arXiv:1710.09412, 2017 | 11012 | 2017 |
| Countering Adversarial Images using Input Transformations C Guo, M Rana, M Cissé, L van der Maaten arXiv preprint arXiv:1711.00117, 2017 | 1649 | 2017 |
| Parseval networks: Improving robustness to adversarial examples M Cisse, P Bojanowski, E Grave, Y Dauphin, N Usunier Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 909 | 2017 |
| Turning your weakness into a strength: Watermarking deep neural networks by backdooring Y Adi, C Baum, M Cisse, B Pinkas, J Keshet 27th {USENIX} Security Symposium ({USENIX} Security 18), 1615-1631, 2018 | 787 | 2018 |
| Houdini: Fooling Deep Structured Prediction Models MM Cisse, Y Adi, N Neverova, J Keshet Advances in Neural Information Processing Systems, 6980-6990, 2017 | 525* | 2017 |
| Efficient softmax approximation for GPUs E Grave, A Joulin, M Cissé, H Jégou Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 317* | 2017 |
| ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases P Stock, M Cisse European Conference on Computer Vision (ECCV) 2018, 2017 | 253* | 2017 |
| Fooling end-to-end speaker verification with adversarial examples F Kreuk, Y Adi, M Cisse, J Keshet 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 240 | 2018 |
| Deep learners benefit more from out-of-distribution examples Y Bengio, F Bastien, A Bergeron, N Boulanger–Lewandowski, T Breuel, ... Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 205 | 2011 |
| Continental-Scale Building Detection from High Resolution Satellite Imagery W Sirko, S Kashubin, M Ritter, A Annkah, YSE Bouchareb, Y Dauphin, ... arXiv preprint arXiv:2107.12283, 2021 | 193 | 2021 |
| On Mixup Regularization L Carratino, M Cissé, R Jenatton, JP Vert arXiv preprint arXiv:2006.06049, 2020 | 123 | 2020 |
| Robust bloom filters for large multilabel classification tasks MM Cisse, N Usunier, T Artieres, P Gallinari Advances in Neural Information Processing Systems, 1851-1859, 2013 | 113 | 2013 |
| Fairness with Overlapping Groups F Yang, M Cisse, S Koyejo arXiv preprint arXiv:2006.13485, 2020 | 84* | 2020 |
| Unbounded cache model for online language modeling with open vocabulary E Grave, MM Cisse, A Joulin Advances in Neural Information Processing Systems, 6042-6052, 2017 | 82 | 2017 |
| Kronecker recurrent units C Jose, M Cissé, F Fleuret International Conference on Machine Learning, 2380-2389, 2018 | 48 | 2018 |
| Look to Africa to advance artificial intelligence M Cisse Nature 562 (7728), 461-462, 2018 | 40 | 2018 |
| Learning compact class codes for fast inference in large multi class classification M Cissé, T Artières, P Gallinari Machine Learning and Knowledge Discovery in Databases, 506-520, 2012 | 33* | 2012 |
| Deep self-taught learning for handwritten character recognition Y Bengio, F Bastien, A Bergeron, N Boulanger–Lewandowski, T Breuel, ... Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 27* | 2011 |
| ADIOS: Architectures deep in output space M Cissé, M Al-Shedivat, S Bengio International Conference on Machine Learning, 2770-2779, 2016 | 25 | 2016 |
| Large margin classification with indefinite similarities I Alabdulmohsin, M Cisse, X Gao, X Zhang Machine learning 103 (2), 215-237, 2016 | 18 | 2016 |
