Learning Instance-wise Sparsity for Accelerating Deep Models

27 July 2019

Papers citing "Learning Instance-wise Sparsity for Accelerating Deep Models"

25 / 25 papers shown

Title
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao Łukasz Dudziak Robert D. Mullins Chengzhong Xu 63 316 0 12 Oct 2018
Channel Gating Neural Networks Weizhe Hua Yuan Zhou Christopher De Sa Zhiru Zhang G. E. Suh 52 180 0 29 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 171 19,204 0 13 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference Mengye Ren A. Pokrovsky Binh Yang R. Urtasun 105 179 0 07 Jan 2018
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 93 385 0 30 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang Feng Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez 85 633 0 26 Nov 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 83 1,139 0 06 Sep 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 122 2,418 0 22 Aug 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 52 1,760 0 20 Jul 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 48 288 0 25 Mar 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks Mason McGill Pietro Perona 45 102 0 17 Mar 2017
Adaptive Neural Networks for Efficient Inference Tolga Bolukbasi Joseph Wang O. Dekel Venkatesh Saligrama 49 355 0 25 Feb 2017
Changing Model Behavior at Test-Time Using Reinforcement Learning Augustus Odena Dieterich Lawson C. Olah TTA 46 51 0 24 Feb 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution Lanlan Liu Jia Deng 72 203 0 02 Jan 2017
Spatially Adaptive Computation Time for Residual Networks Michael Figurnov Maxwell D. Collins Yukun Zhu Li Zhang Jonathan Huang Dmitry Vetrov Ruslan Salakhutdinov 58 347 0 07 Dec 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 166 2,337 0 12 Aug 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,350 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Dynamic Capacity Networks Amjad Almahairi Nicolas Ballas Tim Cooijmans Yin Zheng Hugo Larochelle Aaron Courville 58 96 0 24 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 104 6,179 0 14 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 198 2,984 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 243 8,821 0 01 Oct 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 478 62,122 0 04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 169 1,688 0 02 Apr 2014