| Robust quantization: One model to rule them all M Shkolnik, B Chmiel, R Banner, G Shomron, Y Nahshan, A Bronstein, ... Advances in neural information processing systems 33, 5308-5317, 2020 | 72* | 2020 |
| Neural gradients are near-lognormal: improved quantized and sparse training B Chmiel, L Ben-Uri, M Shkolnik, E Hoffer, R Banner, D Soudry arXiv preprint arXiv:2006.08173, 2020 | 42 | 2020 |
| Thanks for nothing: Predicting zero-valued activations with lightweight convolutional neural networks G Shomron, R Banner, M Shkolnik, U Weiser Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 27 | 2020 |
| Neural gradients are lognormally distributed: understanding sparse and quantized training B Chmiel, L Ben-Uri, M Shkolnik, E Hoffer, R Banner, D Soudry arXiv, 2020 | 6 | 2020 |
| DropCompute: simple and more robust distributed synchronous training via compute variance reduction N Giladi, S Gottlieb, A Karnieli, R Banner, E Hoffer, KY Levy, D Soudry Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
