Integer Quantization for Deep Learning Inference: Principles and
Empirical Evaluation

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

20 April 2020

Paulius Micikevicius

Papers citing "Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation"

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Title
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 678 0 24 Jan 2021
Layer-Wise Data-Free CNN Compression Maxwell Horton Yanzi Jin Ali Farhadi Mohammad Rastegari MQ 24 17 0 18 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 333 10,237 0 16 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016