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Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017

Yihui He

Xiangyu Zhang

Jian Sun

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

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Title
Automatic Pruning for Quantized Neural Networks Luis Guerra Bohan Zhuang Ian Reid Tom Drummond MQ 36 21 0 03 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang Ali Shafiee Hamzah Abdel-Aziz D. Thorsley Georgios Georgiadis Joseph Hassoun MQ 106 148 0 31 Jan 2020
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task Chuanguang Yang Zhulin An Xiaolong Hu Hui Zhu Yongjun Xu 19 0 0 31 Jan 2020
How Does BN Increase Collapsed Neural Network Filters? Sheng Zhou Xinjiang Wang Ping Luo Xue Jiang Wenjie Li Wei Zhang 45 1 0 30 Jan 2020
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination Saurabh Goyal Anamitra R. Choudhury Saurabh ManishRaje Venkatesan T. Chakaravarthy Yogish Sabharwal Ashish Verma 98 19 0 24 Jan 2020
Progressive Local Filter Pruning for Image Retrieval Acceleration Xiaodong Wang Zhedong Zheng Yang He Fei Yan Zhi-qiang Zeng Yi Yang 85 36 0 24 Jan 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yuxin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 130 247 0 23 Jan 2020
Filter Sketch for Network Pruning Mingbao Lin Liujuan Cao Shaojie Li QiXiang Ye Yonghong Tian Jianzhuang Liu Q. Tian Rongrong Ji CLIP 3DPC 171 82 0 23 Jan 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method Xiaolong Ma Zechao Li Yifan Gong Tianyun Zhang Wei Niu ... Pu Zhao Jian Tang Xinyu Lin Bin Ren Yanzhi Wang 75 14 0 23 Jan 2020
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread Haofeng Li Guanbin Li Binbin Yang Guanqi Chen Liang Lin Yizhou Yu ObjD 100 28 0 22 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices Xiaolong Ma Wei Niu Tianyun Zhang Sijia Liu Sheng Lin ... Xiang Chen Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang 103 27 0 20 Jan 2020
A "Network Pruning Network" Approach to Deep Model Compression Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai 3DPC VLM 58 8 0 15 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 61 52 0 14 Jan 2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification Morteza Mousa Pasandi M. Hajabdollahi N. Karimi S. Samavi 3DPC 80 20 0 13 Jan 2020
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators Noah Gamboa Kais Kudrolli Anand Dhoot A. Pedram 33 10 0 09 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 142 73 0 07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression Jing Liu Bohan Zhuang Zhuangwei Zhuang Yong Guo Junzhou Huang Jin-Hui Zhu Mingkui Tan CVBM 76 121 0 04 Jan 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference Jianghao Shen Y. Fu Yue Wang Pengfei Xu Zhangyang Wang Yingyan Lin MQ 60 45 0 03 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning Wei Niu Xiaolong Ma Sheng Lin Shihao Wang Xuehai Qian Xinyu Lin Yanzhi Wang Bin Ren MQ 120 229 0 01 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? Hanting Chen Yunhe Wang Chunjing Xu Boxin Shi Chao Xu Qi Tian Chang Xu 145 203 0 31 Dec 2019
Domain Adaptation Regularization for Spectral Pruning Laurent Dillard Yosuke Shinya Taiji Suzuki 44 1 0 26 Dec 2019
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks Andrey Kuzmin Markus Nagel Saurabh Pitre Sandeep Pendyam Tijmen Blankevoort Max Welling 75 27 0 20 Dec 2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search Jieru Mei Yingwei Li Xiaochen Lian Xiaojie Jin Linjie Yang Alan Yuille Jianchao Yang 58 107 0 20 Dec 2019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning Seul-Ki Yeom P. Seegerer Sebastian Lapuschkin Alexander Binder Simon Wiedemann K. Müller Wojciech Samek CVBM 81 210 0 18 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 39 21 0 13 Dec 2019
Deep Model Compression Via Two-Stage Deep Reinforcement Learning Huixin Zhan Wei-Ming Lin Yongcan Cao 52 12 0 04 Dec 2019
Tropical Polynomial Division and Neural Networks Georgios Smyrnis Petros Maragos 64 12 0 29 Nov 2019
Orthogonal Convolutional Neural Networks Jiayun Wang Yubei Chen Rudrasis Chakraborty Stella X. Yu 89 190 0 27 Nov 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 107 2,717 0 27 Nov 2019
Domain-Aware Dynamic Networks Tianyuan Zhang Bichen Wu Xin Wang Joseph E. Gonzalez Kurt Keutzer 79 6 0 26 Nov 2019
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning Ilchae Jung Kihyun You Hyeonwoo Noh Minsu Cho Bohyung Han 73 27 0 25 Nov 2019
Deep Mixture Density Network for Probabilistic Object Detection Yihui He Jianren Wang UQCV 64 5 0 24 Nov 2019
Graph Pruning for Model Compression Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou GNN 60 9 0 22 Nov 2019
Few Shot Network Compression via Cross Distillation Haoli Bai Jiaxiang Wu Irwin King Michael Lyu FedML 86 60 0 21 Nov 2019
CUP: Cluster Pruning for Compressing Deep Neural Networks Rahul Duggal Cao Xiao R. Vuduc Jimeng Sun 3DPC VLM 48 23 0 19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 95 118 0 19 Nov 2019
Fine-Grained Neural Architecture Search Heewon Kim Seokil Hong Bohyung Han Heesoo Myeong Kyoung Mu Lee AI4CE 57 13 0 18 Nov 2019
Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 91 141 0 18 Nov 2019
Distributed Low Precision Training Without Mixed Precision Zehua Cheng Weiyan Wang Yan Pan Thomas Lukasiewicz MQ 52 5 0 18 Nov 2019
ASV: Accelerated Stereo Vision System Yu Feng P. Whatmough Yuhao Zhu 54 36 0 15 Nov 2019
ASCAI: Adaptive Sampling for acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 42 2 0 15 Nov 2019
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation Junjie Liu Dongchao Wen Hongxing Gao Wei Tao Tse-Wei Chen Kinya Osa Masami Kato 81 21 0 13 Nov 2019
Structural Pruning in Deep Neural Networks: A Small-World Approach Gokul Krishnan Xiaocong Du Yu Cao 29 8 0 11 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 63 10 0 06 Nov 2019
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices Hongjia Li Sheng Lin Ning Liu Caiwen Ding Yanzhi Wang 40 1 0 04 Nov 2019
Ternary MobileNets via Per-Layer Hybrid Filter Banks Dibakar Gope Jesse G. Beu Urmish Thakker Matthew Mattina MQ 69 15 0 04 Nov 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo Yin Zheng Mingkui Tan Qi Chen Jian Chen P. Zhao Junzhou Huang 159 85 0 31 Oct 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings Yue Wang Ziyu Jiang Xiaohan Chen Pengfei Xu Yang Zhao Yingyan Lin Zhangyang Wang MQ 114 83 0 29 Oct 2019
Neural Network Distiller: A Python Package For DNN Compression Research Neta Zmora Guy Jacob Lev Zlotnik Bar Elharar Gal Novik 58 74 0 27 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks Yihui He Jianing Qian Jianren Wang Cindy X. Le Congrui Hetang Qi Lyu Wenping Wang Tianwei Yue 99 11 0 21 Oct 2019