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Barak Battash
Barak Battash
未知所在单位机构
在 jci.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
362020
Early exit for natural language processing models
B Battach, A Bleiweiss, H Barad
US Patent 11,544,461, 2023
132023
Domain-generalizable multiple-domain clustering
A Rozner, B Battash, L Wolf, O Lindenbaum
arXiv preprint arXiv:2301.13530, 2023
62023
Anomaly detection with variance stabilized density estimation
A Rozner, B Battash, H Li, L Wolf, O Lindenbaum
arXiv preprint arXiv:2306.00582, 2023
32023
Efficient verification-based face identification
A Rozner, B Battash, O Lindenbaum, L Wolf
2024 IEEE 18th International Conference on Automatic Face and Gesture …, 2024
12024
Revisiting the Noise Model of Stochastic Gradient Descent
B Battash, L Wolf, O Lindenbaum
International Conference on Artificial Intelligence and Statistics, 4780-4788, 2024
12024
Feature Whitening via Gradient Transformation for Improved Convergence
S Markovich-Golan, B Battash, A Bleiweiss
arXiv preprint arXiv:2010.01546, 2020
12020
Adaptive and Iteratively Improving Recurrent Lateral Connections
B Battash, L Wolf
arXiv preprint arXiv:1910.11105, 2019
12019
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
A Rozner, B Battash, L Wolf, O Lindenbaum
arXiv preprint arXiv:2406.09920, 2024
2024
Obtaining Favorable Layouts for Multiple Object Generation
B Battash, A Rozner, L Wolf, O Lindenbaum
arXiv preprint arXiv:2405.00791, 2024
2024
Mixing between the Cross Entropy and the Expectation Loss Terms
B Battash, L Wolf, T Hazan
arXiv preprint arXiv:2109.05635, 2021
2021
Revisiting the noise Model of SGD
B Battash, L Wolf, O Lindenbaum
NeurIPS 2023 Workshop Heavy Tails in Machine Learning, 0
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