Data-Driven Sparse Structure Selection for Deep Neural Networks

5 July 2017

Papers citing "Data-Driven Sparse Structure Selection for Deep Neural Networks"

23 / 273 papers shown

Title
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin R. Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 11 503 0 22 Mar 2019
Universally Slimmable Networks and Improved Training Techniques Jiahui Yu Thomas Huang 14 378 0 12 Mar 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 29 307 0 15 Feb 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang R. Ji 34 130 0 11 Dec 2018
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 15 3 0 11 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning Yuefu Zhou Ya-Qin Zhang Yanfeng Wang Qi Tian BDL 20 58 0 02 Dec 2018
Stochastic Adaptive Neural Architecture Search for Keyword Spotting Tom Véniat Olivier Schwander Ludovic Denoyer AI4TS 19 25 0 16 Nov 2018
Synaptic Strength For Convolutional Neural Network Robert Frank Martorano Zhao Zhong Wei Wu Junjie Yan CVBM 23 32 0 06 Nov 2018
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization Xinbang Zhang Zehao Huang Naiyan Wang 19 93 0 05 Nov 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 8 1,449 0 11 Oct 2018
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks Ting-Wu Chin Cha Zhang Diana Marculescu 21 46 0 01 Oct 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 17 5 0 11 Jul 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression Kohei Yamamoto K. Maeno 24 32 0 14 Jun 2018
Deep Mixture of Experts via Shallow Embedding Xin Wang F. I. F. Richard Yu Lisa Dunlap Yi-An Ma Ruth Wang Azalia Mirhoseini Trevor Darrell Joseph E. Gonzalez MoE 19 1 0 05 Jun 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference Jian-Hao Luo Jianxin Wu 10 207 0 23 May 2018
Continuously Constructive Deep Neural Networks Ozan Irsoy Ethem Alpaydin 12 18 0 07 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks Xin Yu Zhiding Yu Srikumar Ramalingam 9 17 0 05 Apr 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers Jianbo Ye Xin Lu Zhe-nan Lin J. Z. Wang 11 405 0 01 Feb 2018
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 20 462 0 22 Nov 2017
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks A. Gordon Elad Eban Ofir Nachum Bo Chen Hao Wu Tien-Ju Yang E. Choi 19 337 0 18 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 23 1,087 0 23 Oct 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 247 1,491 0 30 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016