| 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 | 4532 | 2021 |
| Emerging properties in self-supervised vision transformers M Caron, H Touvron, I Misra, H Jégou, J Mairal, P Bojanowski, A Joulin Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 2768 | 2021 |
| Llama: Open and efficient foundation language models H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ... arXiv preprint arXiv:2302.13971, 2023 | 2453 | 2023 |
| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 973 | 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, 2021 | 760 | 2021 |
| Convit: Improving vision transformers with soft convolutional inductive biases S d'Ascoli, H Touvron, M Leavitt, A Morcos, G Biroli, L Sagun International Conference on Machine Learning, 2021 | 575 | 2021 |
| Fixing the train-test resolution discrepancy H Touvron, A Vedaldi, M Douze, H Jégou Advances in neural information processing systems 32, 2019 | 550 | 2019 |
| LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference B Graham, A El-Nouby, H Touvron, P Stock, A Joulin, H Jégou, M Douze Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 519* | 2021 |
| Resmlp: Feedforward networks for image classification with data-efficient training H Touvron, P Bojanowski, M Caron, M Cord, A El-Nouby, E Grave, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 475* | 2021 |
| XCiT: Cross-Covariance Image Transformers A El-Nouby, H Touvron, M Caron, P Bojanowski, M Douze, A Joulin, ... Advances in Neural Information Processing Systems, 2021 | 331* | 2021 |
| Resnet strikes back: An improved training procedure in timm R Wightman, H Touvron, H Jégou NeurIPS 2021 Workshop on ImageNet: Past, Present, and Future, 2021 | 321 | 2021 |
| Deit iii: Revenge of the vit H Touvron, M Cord, H Jégou Proceedings of the European conference on computer vision (ECCV), 2022 | 159 | 2022 |
| Are large-scale datasets necessary for self-supervised pre-training? A El-Nouby, G Izacard, H Touvron, I Laptev, H Jegou, E Grave arXiv preprint arXiv:2112.10740, 2021 | 113 | 2021 |
| Code llama: Open foundation models for code B Roziere, J Gehring, F Gloeckle, S Sootla, I Gat, XE Tan, Y Adi, J Liu, ... arXiv preprint arXiv:2308.12950, 2023 | 87 | 2023 |
| Three things everyone should know about Vision Transformers H Touvron, M Cord, A El-Nouby, J Verbeek, H Jégou Proceedings of the European conference on computer vision (ECCV), 2022 | 60 | 2022 |
| 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 | 58 | 2021 |
| Augmenting convolutional networks with attention-based aggregation H Touvron, M Cord, A El-Nouby, P Bojanowski, A Joulin, G Synnaeve, ... arXiv preprint arXiv:2112.13692, 2021 | 34* | 2021 |
| Fixing the train-test resolution discrepancy: FixEfficientNet H Touvron, A Vedaldi, M Douze, H Jégou arXiv preprint arXiv:2003.08237, 2020 | 16* | 2020 |
| Powers of layers for image-to-image translation H Touvron, M Douze, M Cord, H Jégou arXiv preprint arXiv:2008.05763, 2020 | 4 | 2020 |
| Unbiased single-cell morphology with self-supervised vision transformers M Doron, T Moutakanni, ZS Chen, N Moshkov, M Caron, H Touvron, ... bioRxiv, 2023.06. 16.545359, 2023 | 3* | 2023 |
Armand JoulinGoogle DeepMindGeverifieerd e-mailadres voor google.com
