Yury Nahshan

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2024 A* conf
Linear Log-Normal Attention with Unbiased Concentration.
ICLR
Yury Nahshan, Joseph Kampeas, Emir Haleva
2023 J jnl
Linear Log-Normal Attention with Unbiased Concentration.
CoRR
Yury Nahshan, Joseph Kampeas, Emir Haleva
2023 J jnl
Rotation Invariant Quantization for Model Compression.
CoRR
Joseph Kampeas, Yury Nahshan, Hanoch Kremer, Gil Lederman, Shira Zaloshinski, Zheng Li, Emir Haleva
2021 A* conf
Accurate Post Training Quantization With Small Calibration Sets.
ICML
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
2021 J jnl
Loss aware post-training quantization.
Mach. Learn.
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2020 J jnl
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming.
CoRR
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
2020 A* conf
Robust Quantization: One Model to Rule Them All.
NeurIPS
Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alex M. Bronstein, Uri C. Weiser
2020 J jnl
Robust Quantization: One Model to Rule Them All.
CoRR
Moran Shkolnik, Brian Chmiel, Ron Banner, Gil Shomron, Yury Nahshan, Alexander M. Bronstein, Uri C. Weiser
2019 J jnl
Loss Aware Post-training Quantization.
CoRR
Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019 A* conf
Post training 4-bit quantization of convolutional networks for rapid-deployment.
NeurIPS
Ron Banner, Yury Nahshan, Daniel Soudry
2018 J jnl
ACIQ: Analytical Clipping for Integer Quantization of neural networks.
CoRR
Ron Banner, Yury Nahshan, Elad Hoffer, Daniel Soudry