Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017

Xiangyu Zhang

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

50 / 1,090 papers shown

Title
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis Kasanagottu Sairam J. Mukherjee A. Patra P. Das 11 5 0 11 Nov 2018
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization H. T. Kung Bradley McDanel S. Zhang 17 133 0 07 Nov 2018
Synaptic Strength For Convolutional Neural Network Robert Frank Martorano Zhao Zhong Wei Wu Junjie Yan CVBM 28 32 0 06 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance Zechun Liu Wenhan Luo Baoyuan Wu Xin Yang W. Liu K. Cheng MQ 15 92 0 04 Nov 2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices Xiaofang Xu M. Park C. Brick 13 26 0 01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 22 1,037 0 01 Nov 2018
Balanced Sparsity for Efficient DNN Inference on GPU Zhuliang Yao Shijie Cao Wencong Xiao Chen Zhang Lanshun Nie 17 90 0 01 Nov 2018
Demystifying Neural Network Filter Pruning Zhuwei Qin Fuxun Yu Adam Lesnikowski Xiang Chen 22 4 0 29 Oct 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 14 594 0 28 Oct 2018
Distilling with Performance Enhanced Students Jack Turner Elliot J. Crowley Valentin Radu José Cano Amos Storkey Michael F. P. O'Boyle 8 3 0 24 Oct 2018
Pruning Deep Neural Networks using Partial Least Squares Artur Jordão Ricardo Kloss Fernando A. A. Yamada William Robson Schwartz 6 9 0 17 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 29 38 0 17 Oct 2018
Functionality-Oriented Convolutional Filter Pruning Zhuwei Qin Fuxun Yu Chenchen Liu Xiang Chen 8 4 0 12 Oct 2018
Efficient architecture for deep neural networks with heterogeneous sensitivity Hyunjoong Cho Jinhyeok Jang Chanhyeok Lee Seungjoon Yang 16 0 0 12 Oct 2018
Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao Yiren Zhao L. Dudziak Robert D. Mullins Chengzhong Xu 14 311 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,449 0 11 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 27 31 0 10 Oct 2018
Penetrating the Fog: the Path to Efficient CNN Models Kun Wan Boyuan Feng Shu Yang Yufei Ding 17 0 0 09 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 16 66 0 02 Oct 2018
Dynamic Sparse Graph for Efficient Deep Learning L. Liu Lei Deng Xing Hu Maohua Zhu Guoqi Li Yufei Ding Yuan Xie GNN 24 42 0 01 Oct 2018
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks Ting-Wu Chin Cha Zhang Diana Marculescu 29 46 0 01 Oct 2018
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization Chaim Baskin Natan Liss Yoav Chai Evgenii Zheltonozhskii Eli Schwartz Raja Giryes A. Mendelson A. Bronstein MQ 9 60 0 29 Sep 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides X. Zhang ObjD 35 466 0 23 Sep 2018
Shift-based Primitives for Efficient Convolutional Neural Networks Huasong Zhong Xianggen Liu Yihui He Yuchun Ma 35 20 0 22 Sep 2018
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks Jack Turner José Cano Valentin Radu Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey 16 40 0 19 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018
Network Recasting: A Universal Method for Network Architecture Transformation Joonsang Yu Sungbum Kang Kiyoung Choi 19 1 0 14 Sep 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions Jinhyeok Jang Hyunjoong Cho Jaehong Kim Jaeyeon Lee Seungjoon Yang 18 2 0 11 Sep 2018
Accelerating Deep Neural Networks with Spatial Bottleneck Modules Junran Peng Lingxi Xie Zhaoxiang Zhang T. Tan Jingdong Wang 20 9 0 07 Sep 2018
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing Athindran Ramesh Kumar Balaraman Ravindran A. Raghunathan ObjD 16 13 0 05 Sep 2018
How is Contrast Encoded in Deep Neural Networks? A. Akbarinia K. Gegenfurtner 14 5 0 05 Sep 2018
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error Taiji Suzuki Hiroshi Abe Tomoya Murata Shingo Horiuchi Kotaro Ito Tokuma Wachi So Hirai Masatoshi Yukishima Tomoaki Nishimura MLT 19 10 0 26 Aug 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Yang He Xuanyi Dong Guoliang Kang Yanwei Fu C. Yan Yi Yang 43 134 0 22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 25 954 0 21 Aug 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions Jianbo Guo Yuxi Li Weiyao Lin Yurong Chen Jianguo Li 3DV OOD 11 84 0 16 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 13 14 0 08 Aug 2018
Extreme Network Compression via Filter Group Approximation Bo Peng Wenming Tan Zheyang Li Shun Zhang Di Xie Shiliang Pu 21 63 0 30 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian-jun Sun 51 4,922 0 30 Jul 2018
StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs Tianyun Zhang Shaokai Ye Kaiqi Zhang Xiaolong Ma Ning Liu ... Jian Tang Kaisheng Ma Xue Lin M. Fardad Yanzhi Wang 15 50 0 29 Jul 2018
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu 15 3 0 26 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 9 696 0 26 Jul 2018
Crossbar-aware neural network pruning Ling Liang Lei Deng Y. Zeng Xing Hu Yu Ji Xin Ma Guoqi Li Yuan Xie 8 41 0 25 Jul 2018
Coreset-Based Neural Network Compression Abhimanyu Dubey Moitreya Chatterjee N. Ahuja 16 79 0 25 Jul 2018
Recent Advances in Convolutional Neural Network Acceleration Qianru Zhang Meng Zhang Tinghuan Chen Zhifei Sun Yuzhe Ma Bei Yu 8 347 0 23 Jul 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 16 38 0 20 Jul 2018
BRIEF: Backward Reduction of CNNs with Information Flow Analysis Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang 14 0 0 16 Jul 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 19 5 0 11 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
Automatic Rank Selection for High-Speed Convolutional Neural Network Hyeji Kim C. Kyung 13 5 0 28 Jun 2018
Doubly Nested Network for Resource-Efficient Inference Jaehong Kim Sungeun Hong Yongseok Choi Jiwon Kim 16 5 0 20 Jun 2018