Training data-efficient image transformers & distillation through attention H Touvron, M Cord, M Douze, F Massa, A Sablayrolles, H Jégou International conference on machine learning, 10347-10357, 2021 | 6130 | 2021 |
Diego de las Casas AQ Jiang, A Sablayrolles, A Mensch, C Bamford, DS Chaplot Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio …, 2023 | 1447 | 2023 |
Going deeper with image transformers H Touvron, M Cord, A Sablayrolles, G Synnaeve, H Jégou Proceedings of the IEEE/CVF international conference on computer vision, 32-42, 2021 | 989 | 2021 |
Mixtral of experts AQ Jiang, A Sablayrolles, A Roux, A Mensch, B Savary, C Bamford, ... arXiv preprint arXiv:2401.04088, 2024 | 464 | 2024 |
Mistral 7B AQ Jiang, A Sablayrolles, A Mensch, C Bamford, DS Chaplot, D Casas, ... arXiv preprint arXiv:2310.06825, 2023 | 340 | 2023 |
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference A Sablayrolles, M Douze, Y Ollivier, C Schmid, H Jégou International conference on Machine learning (ICML) 2019, 2019 | 327 | 2019 |
Opacus: User-friendly differential privacy library in PyTorch A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ... NeurIPS 2021 Privacy workshop (PriML), 2021 | 283 | 2021 |
Gradient-based adversarial attacks against text transformers C Guo, A Sablayrolles, H Jégou, D Kiela arXiv preprint arXiv:2104.13733, 2021 | 139 | 2021 |
Large Memory Layers with Product Keys G Lample, A Sablayrolles, MA Ranzato, L Denoyer, H Jégou Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019 | 129 | 2019 |
Casas AQ Jiang, A Sablayrolles, A Mensch, C Bamford, DS Chaplot D. dl, Bressand, F., Lengyel, G., Lample, G., Saulnier, L., et al. Mistral 7b, 2023 | 119 | 2023 |
How should we evaluate supervised hashing? A Sablayrolles, M Douze, N Usunier, H Jégou International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2017 | 104 | 2017 |
Spreading vectors for similarity search A Sablayrolles, M Douze, C Schmid, H Jégou International Conference on Learning Representations (ICLR) 2019, 2018 | 101 | 2018 |
On the importance of difficulty calibration in membership inference attacks L Watson, C Guo, G Cormode, A Sablayrolles International Conference on Learning Representations (ICLR) 2022, 2021 | 84 | 2021 |
Radioactive data: tracing through training A Sablayrolles, M Douze, C Schmid, H Jégou International Conference on Machine Learning, 8326-8335, 2020 | 72 | 2020 |
Grafit: Learning fine-grained image representations with coarse labels H Touvron, A Sablayrolles, M Douze, M Cord, H Jégou Proceedings of the IEEE/CVF international conference on computer vision, 874-884, 2021 | 71 | 2021 |
Training data-efficient image transformers & distillation through attention. arXiv 2020 H Touvron, M Cord, M Douze, F Massa, A Sablayrolles, H Jégou arXiv preprint arXiv:2012.12877 2 (3), 2020 | 53 | 2020 |
Watermarking images in self-supervised latent spaces P Fernandez, A Sablayrolles, T Furon, H Jégou, M Douze ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 48 | 2022 |
Link and code: Fast indexing with graphs and compact regression codes M Douze, A Sablayrolles, H Jégou IEEE Conference on Computer Vision & Pattern Recognition (CVPR) 2018, 2018 | 46 | 2018 |
Tan without a burn: Scaling laws of dp-sgd T Sander, P Stock, A Sablayrolles International Conference on Machine Learning, 29937-29949, 2023 | 33 | 2023 |
Defending against Reconstruction Attacks with Rényi Differential Privacy P Stock, I Shilov, I Mironov, A Sablayrolles arXiv preprint arXiv:2202.07623, 2022 | 27 | 2022 |