Moran Shkolnik

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Training Samples

Convolutional Neural Networks

Variance Reduction

Avoid Overfitting

Top Venues

Publications

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 (2023)
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)
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)
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)
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 (2020)
Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry
Neural gradients are lognormally distributed: understanding sparse and quantized training. CoRR (2020)
Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. ECCV (10) (2020)
Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks. CoRR (2019)