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Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Jun 14, 2020
Itay Hubara, Yury Nahshan, Yair Hanani, Ron Banner, Daniel Soudry


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The Knowledge Within: Methods for Data-Free Model Compression

Dec 03, 2019
Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry


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MLPerf Inference Benchmark

Nov 06, 2019
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


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Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency

Aug 12, 2019
Elad Hoffer, Berry Weinstein, Itay Hubara, Tal Ben-Nun, Torsten Hoefler, Daniel Soudry


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Augment your batch: better training with larger batches

Jan 27, 2019
Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry


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Scalable Methods for 8-bit Training of Neural Networks

Jun 17, 2018
Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry


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Fix your classifier: the marginal value of training the last weight layer

Mar 20, 2018
Elad Hoffer, Itay Hubara, Daniel Soudry

* International Conference on Learning Representations 2018 
* https://openreview.net/forum?id=S1Dh8Tg0

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Train longer, generalize better: closing the generalization gap in large batch training of neural networks

Jan 01, 2018
Elad Hoffer, Itay Hubara, Daniel Soudry

* Advances in Neural Information Processing Systems 30 2017; pages 1729-1739; http://papers.nips.cc/paper/6770-train-longer-generalize-better-closing-the-generalization-gap-in-large-batch-training-of-neural-networks 

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Playing SNES in the Retro Learning Environment

Feb 07, 2017
Nadav Bhonker, Shai Rozenberg, Itay Hubara


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Spatial contrasting for deep unsupervised learning

Nov 21, 2016
Elad Hoffer, Itay Hubara, Nir Ailon

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Deep unsupervised learning through spatial contrasting

Oct 02, 2016
Elad Hoffer, Itay Hubara, Nir Ailon


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Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Sep 22, 2016
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, Yoshua Bengio

* arXiv admin note: text overlap with arXiv:1602.02830 

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Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Mar 17, 2016
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, Yoshua Bengio

* 11 pages and 3 figures 

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Binarized Neural Networks

Mar 10, 2016
Itay Hubara, Daniel Soudry, Ran El Yaniv

* This is an obsolete version, up to date version is available here: arXiv:1602.02830 

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