Moran Shkolnik

According to our database, Moran Shkolnik authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EXAQ: Exponent Aware Quantization For LLMs Acceleration.

Moran Shkolnik, Maxim Fishman, Brian Chmiel, Hilla Ben-Yaacov, Ron Banner, Kfir Yehuda Levy

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Neural gradients are near-lognormal: improved quantized and sparse training.

Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Neural gradients are lognormally distributed: understanding sparse and quantized training.

Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry

CoRR, 2020

Robust Quantization: One Model to Rule Them All.

Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks.

Gil Shomron, Ron Banner, Moran Shkolnik, Uri C. Weiser

Proceedings of the Computer Vision - ECCV 2020, 2020