Shkolnik, Moran

5 publications

NeurIPSW 2024 EXAQ: Exponent Aware Quantization for LLMs Acceleration Moran Shkolnik, Maxim Fishman, Brian Chmiel, Hilla Ben-Yaacov, Ron Banner, Kfir Yehuda Levy

NeurIPS 2023 DropCompute: Simple and More Robust Distributed Synchronous Training via Compute Variance Reduction Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, Daniel Soudry

ICLR 2021 Neural Gradients Are Near-Lognormal: Improved Quantized and Sparse Training Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry

NeurIPS 2020 Robust Quantization: One Model to Rule Them All Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex Bronstein, Uri Weiser

ECCV 2020 Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser