| Imagenet-21k pretraining for the masses T Ridnik, E Ben-Baruch, A Noy, L Zelnik-Manor arXiv preprint arXiv:2104.10972, 2021 | 670 | 2021 |
| Asymmetric loss for multi-label classification T Ridnik, E Ben-Baruch, N Zamir, A Noy, I Friedman, M Protter, ... Proceedings of the IEEE/CVF international conference on computer vision, 82-91, 2021 | 611* | 2021 |
| Tresnet: High performance gpu-dedicated architecture T Ridnik, H Lawen, A Noy, E Ben Baruch, G Sharir, I Friedman proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 271 | 2021 |
| Xnas: Neural architecture search with expert advice N Nayman, A Noy, T Ridnik, I Friedman, R Jin, L Zelnik Advances in neural information processing systems 32, 2019 | 143 | 2019 |
| An image is worth 16x16 words, what is a video worth? G Sharir, A Noy, L Zelnik-Manor arXiv preprint arXiv:2103.13915, 2021 | 124 | 2021 |
| Ml-decoder: Scalable and versatile classification head T Ridnik, G Sharir, A Ben-Cohen, E Ben-Baruch, A Noy Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 120 | 2023 |
| Asap: Architecture search, anneal and prune A Noy, N Nayman, T Ridnik, N Zamir, S Doveh, I Friedman, R Giryes, ... International conference on artificial intelligence and statistics, 493-503, 2020 | 118 | 2020 |
| Multi-label classification with partial annotations using class-aware selective loss E Ben-Baruch, T Ridnik, I Friedman, A Ben-Cohen, N Zamir, A Noy, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 48 | 2022 |
| Knapsack pruning with inner distillation Y Aflalo, A Noy, M Lin, I Friedman, L Zelnik arXiv preprint arXiv:2002.08258, 2020 | 42 | 2020 |
| End-to-end audio strikes back: Boosting augmentations towards an efficient audio classification network A Gazneli, G Zimerman, T Ridnik, G Sharir, A Noy arXiv preprint arXiv:2204.11479, 2022 | 41 | 2022 |
| Hardcore-nas: Hard constrained differentiable neural architecture search N Nayman, Y Aflalo, A Noy, L Zelnik International Conference on Machine Learning, 7979-7990, 2021 | 37 | 2021 |
| Measures of Complexity V Vovk, H Papadopoulos, A Gammerman Springer, 2015 | 33 | 2015 |
| 21k pretraining for the masses T Ridnik, E Ben-Baruch, A Noy, LI Zelnik-Manor Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021 | 30 | 2021 |
| Wemix: How to better utilize data augmentation Y Xu, A Noy, M Lin, Q Qian, H Li, R Jin arXiv preprint arXiv:2010.01267, 2020 | 23 | 2020 |
| Robust forward algorithms via PAC-Bayes and Laplace distributions A Noy, K Crammer Artificial Intelligence and Statistics, 678-686, 2014 | 13 | 2014 |
| Solving imagenet: a unified scheme for training any backbone to top results T Ridnik, H Lawen, E Ben-Baruch, A Noy arXiv preprint arXiv:2204.03475, 2022 | 11 | 2022 |
| Diverse imagenet models transfer better N Nayman, A Golbert, A Noy, L Zelnik-Manor Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 9 | 2024 |
| BINAS: Bilinear Interpretable Neural Architecture Search N Nayman, Y Aflalo, A Noy, R Jin, L Zelnik-Manor arXiv preprint arXiv:2110.12399, 2021 | 4 | 2021 |
| A convergence theory towards practical over-parameterized deep neural networks A Noy, Y Xu, Y Aflalo, L Zelnik-Manor, R Jin arXiv preprint arXiv:2101.04243, 2021 | 4 | 2021 |
| PETA: photo albums event recognition using transformers attention T Glaser, E Ben-Baruch, G Sharir, N Zamir, A Noy, L Zelnik-Manor 2022 26th International Conference on Pattern Recognition (ICPR), 2532-2538, 2022 | 2 | 2022 |
