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2020 – today
- 2024
[i5]Moran Shkolnik, Maxim Fishman, Brian Chmiel, Hilla Ben-Yaacov, Ron Banner, Kfir Yehuda Levy:
EXAQ: Exponent Aware Quantization For LLMs Acceleration. CoRR abs/2410.03185 (2024)- 2023
- [c4]Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry:
DropCompute: simple and more robust distributed synchronous training via compute variance reduction. NeurIPS 2023 - [i4]Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Yehuda Levy, Daniel Soudry:
DropCompute: simple and more robust distributed synchronous training via compute variance reduction. CoRR abs/2306.10598 (2023) - 2021
- [c3]Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry:
Neural gradients are near-lognormal: improved quantized and sparse training. ICLR 2021 - 2020
- [c2]Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser:
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. ECCV (10) 2020: 234-250 - [c1]Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. NeurIPS 2020 - [i3]Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser:
Robust Quantization: One Model to Rule Them All. CoRR abs/2002.07686 (2020) - [i2]Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry:
Neural gradients are lognormally distributed: understanding sparse and quantized training. CoRR abs/2006.08173 (2020)
2010 – 2019
- 2019
- [i1]Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser:
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. CoRR abs/1909.07636 (2019)
Coauthor Index
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