Itay Hubara

32 papers A* 8Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Block Sparse Flash Attention.
CoRR
Daniel Ohayon, Itay Lamprecht, Itay Hubara, Israel Cohen, Daniel Soudry, Noam Elata
2025 J jnl
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks.
Trans. Mach. Learn. Res.
Edan Kinderman, Itay Hubara, Haggai Maron, Daniel Soudry
2024 J jnl
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks.
CoRR
Edan Kinderman, Itay Hubara, Haggai Maron, Daniel Soudry
2024 A* conf
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators.
ICLR
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
2024 J jnl
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators.
CoRR
Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
2023 A* conf
Minimum Variance Unbiased N: M Sparsity for the Neural Gradients.
ICLR
Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
2022 J jnl
Optimal Fine-Grained N: M sparsity for Activations and Neural Gradients.
CoRR
Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
2021 A* conf
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks.
NeurIPS
Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Joseph Naor, Daniel Soudry
2021 J jnl
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks.
CoRR
Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Seffi Naor, Daniel Soudry
2021 A* conf
Accurate Post Training Quantization With Small Calibration Sets.
ICML
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry
2020 A* conf
Augment Your Batch: Improving Generalization Through Instance Repetition.
CVPR
Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
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
MLPerf Inference Benchmark.
ISCA
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2020 A* conf
The Knowledge Within: Methods for Data-Free Model Compression.
CVPR
Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
2019 J jnl
Augment your batch: better training with larger batches.
CoRR
Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2019 J jnl
MLPerf Inference Benchmark.
CoRR
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou
2019 J jnl
Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency.
CoRR
Elad Hoffer, Berry Weinstein, Itay Hubara, Tal Ben-Nun, Torsten Hoefler, Daniel Soudry
2019 J jnl
The Knowledge Within: Methods for Data-Free Model Compression.
CoRR
Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
2018 — conf
Fix your classifier: the marginal value of training the last weight layer.
ICLR (Poster)
Elad Hoffer, Itay Hubara, Daniel Soudry
2018 J jnl
Fix your classifier: the marginal value of training the last weight layer.
CoRR
Elad Hoffer, Itay Hubara, Daniel Soudry
2018 J jnl
Scalable Methods for 8-bit Training of Neural Networks.
CoRR
Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
2018 A* conf
Scalable methods for 8-bit training of neural networks.
NeurIPS
Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
2017 — conf
Playing SNES in the Retro Learning Environment.
ICLR (Workshop)
Nadav Bhonker, Shai Rozenberg, Itay Hubara
2017 J jnl
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.
J. Mach. Learn. Res.
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, Yoshua Bengio
2017 — conf
Train longer, generalize better: closing the generalization gap in large batch training of neural networks.
NIPS
Elad Hoffer, Itay Hubara, Daniel Soudry
2017 J jnl
Train longer, generalize better: closing the generalization gap in large batch training of neural networks.
CoRR
Elad Hoffer, Itay Hubara, Daniel Soudry
2016 — conf
Binarized Neural Networks.
NIPS
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, Yoshua Bengio
2016 J jnl
Deep unsupervised learning through spatial contrasting.
CoRR
Elad Hoffer, Itay Hubara, Nir Ailon
2016 J jnl
Playing SNES in the Retro Learning Environment.
CoRR
Nadav Bhonker, Shai Rozenberg, Itay Hubara
2016 J jnl
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.
CoRR
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, Yoshua Bengio
2016 J jnl
Spatial contrasting for deep unsupervised learning.
CoRR
Elad Hoffer, Itay Hubara, Nir Ailon
2014 — conf
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights.
NIPS
Daniel Soudry, Itay Hubara, Ron Meir