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Optimal Fine-Grained N:M sparsity for Activations and Neural Gradients



Brian Chmiel , Itay Hubara , Ron Banner , Daniel Soudry


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Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks



Itay Hubara , Brian Chmiel , Moshe Island , Ron Banner , Seffi Naor , Daniel Soudry


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



Itay Hubara , Yury Nahshan , Yair Hanani , Ron Banner , Daniel Soudry


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The Knowledge Within: Methods for Data-Free Model Compression



Matan Haroush , Itay Hubara , Elad Hoffer , Daniel Soudry


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MLPerf Inference Benchmark



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



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



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



Ron Banner , Itay Hubara , Elad Hoffer , Daniel Soudry


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



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



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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