| Mimic the raw domain: Accelerating action recognition in the compressed domain B Battash, H Barad, H Tang, A Bleiweiss Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 33 | 2020 |
| Early exit for natural language processing models B Battach, A Bleiweiss, H Barad US Patent 11,544,461, 2023 | 12 | 2023 |
| Domain-generalizable multiple-domain clustering A Rozner, B Battash, L Wolf, O Lindenbaum arXiv preprint arXiv:2301.13530, 2023 | 3 | 2023 |
| Revisiting the noise model of stochastic gradient descent B Battash, L Wolf, O Lindenbaum International Conference on Artificial Intelligence and Statistics, 4780-4788, 2024 | 1 | 2024 |
| Anomaly Detection with Variance Stabilized Density Estimation A Rozner, B Battash, H Li, L Wolf, O Lindenbaum arXiv preprint arXiv:2306.00582, 2023 | 1 | 2023 |
| Feature Whitening via Gradient Transformation for Improved Convergence S Markovich-Golan, B Battash, A Bleiweiss arXiv preprint arXiv:2010.01546, 2020 | 1 | 2020 |
| Adaptive and Iteratively Improving Recurrent Lateral Connections B Battash, L Wolf arXiv preprint arXiv:1910.11105, 2019 | 1 | 2019 |
| Obtaining Favorable Layouts for Multiple Object Generation B Battash, A Rozner, L Wolf, O Lindenbaum arXiv preprint arXiv:2405.00791, 2024 | | 2024 |
| Efficient Verification-Based Face Identification A Rozner, B Battash, O Lindenbaum, L Wolf arXiv preprint arXiv:2312.13240, 2023 | | 2023 |
| Revisiting the noise Model of SGD B Battash, L Wolf, O Lindenbaum NeurIPS 2023 Workshop Heavy Tails in Machine Learning, 2023 | | 2023 |
| Mixing between the Cross Entropy and the Expectation Loss Terms B Battash, L Wolf, T Hazan arXiv preprint arXiv:2109.05635, 2021 | | 2021 |
