Rethinking the Value of Network Pruning

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Rethinking the Value of Network Pruning

11 October 2018

Gao Huang

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Papers citing "Rethinking the Value of Network Pruning"

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Title
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 80 31 0 10 Oct 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 82 43 0 29 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 20 4 0 18 Sep 2018
$Make $\ell_1$ Regularization Effective in Training Sparse CNN$ Make $\ell_1$ Regularization Effective in Training Sparse CNN Juncai He Xiaodong Jia Jinchao Xu Lian Zhang Liang Zhao 62 5 0 11 Jul 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 86 211 0 23 May 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 405 3,494 0 09 Mar 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 166 1,101 0 23 Oct 2017