Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017

Xiangyu Zhang

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

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Title
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks Qihang Yu Yingwei Li Jieru Mei Yuyin Zhou Alan Yuille 3DPC 28 3 0 28 Mar 2020
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search Xiyang Dai Dongdong Chen Mengchen Liu Yinpeng Chen Lu Yuan 24 20 0 27 Mar 2020
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN Chenglong Wang M. Oda K. Mori MedIm 9 3 0 24 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 29 64 0 23 Mar 2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels Zan Shen Jiang Qian Bojin Zhuang Shaojun Wang Jing Xiao 26 5 0 22 Mar 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs Muyang Li Ji Lin Yaoyao Ding Zhijian Liu Jun-Yan Zhu Song Han GAN 22 2 0 19 Mar 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 137 189 0 19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso S. Y. Sekeh MQ 35 15 0 18 Mar 2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer Huan Wang Yijun Li Yuehai Wang Haoji Hu Ming-Hsuan Yang 115 103 0 18 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network Yuhang Li Wei Wang Haoli Bai Ruihao Gong Xin Dong F. Yu MQ 13 20 0 17 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping Jiaxiong Qiu Cai Chen Shuaicheng Liu B. Zeng 17 39 0 16 Mar 2020
Channel Pruning Guided by Classification Loss and Feature Importance Jinyang Guo Wanli Ouyang Dong Xu 14 53 0 15 Mar 2020
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation Co-Design Goes a Long Way Shaoshan Liu Bin Ren Xipeng Shen Yanzhi Wang 6 18 0 14 Mar 2020
Partial Weight Adaptation for Robust DNN Inference Xiufeng Xie Kyu-Han Kim 3DH 11 2 0 13 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 4 25 0 12 Mar 2020
Highly Efficient Salient Object Detection with 100K Parameters Shanghua Gao Yong-qiang Tan Ming-Ming Cheng Chengze Lu Yunpeng Chen Shuicheng Yan 231 168 0 12 Mar 2020
Channel Pruning via Optimal Thresholding Yun Ye Ganmei You Jong-Kae Fwu Xia Zhu Q. Yang Yuan Zhu 14 12 0 10 Mar 2020
BiDet: An Efficient Binarized Object Detector Ziwei Wang Ziyi Wu Jiwen Lu Jie Zhou MQ 62 64 0 09 Mar 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 27 347 0 07 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training Bai Li Shiqi Wang Yunhan Jia Yantao Lu Zhenyu Zhong Lawrence Carin Suman Jana AAML 10 14 0 06 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications Chinthaka Gamanayake Lahiru Jayasinghe Benny Kai Kiat Ng Chau Yuen VLM 23 45 0 05 Mar 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection Mao Ye Chengyue Gong Lizhen Nie Denny Zhou Adam R. Klivans Qiang Liu 43 108 0 03 Mar 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets Thu Dinh Bao Wang Andrea L. Bertozzi Stanley J. Osher AAML 6 16 0 02 Mar 2020
Channel Equilibrium Networks for Learning Deep Representation Wenqi Shao Shitao Tang Xingang Pan Ping Tan Xiaogang Wang Ping Luo 30 17 0 29 Feb 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 12 139 0 29 Feb 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 12 38 0 28 Feb 2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression R. Lin Ching-Yun Ko Zhuolun He Cong Chen Yuan Cheng Hao Yu G. Chesi Ngai Wong 39 6 0 28 Feb 2020
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference Oindrila Saha Aditya Kusupati H. Simhadri Manik Varma Prateek Jain 27 54 0 27 Feb 2020
HRank: Filter Pruning using High-Rank Feature Map Mingbao Lin Rongrong Ji Yan Wang Yichen Zhang Baochang Zhang Yonghong Tian Ling Shao 13 715 0 24 Feb 2020
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks Sai Aparna Aketi Sourjya Roy A. Raghunathan Kaushik Roy 8 22 0 23 Feb 2020
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs Valentin Radu Kuba Kaszyk Yuan Wen Jack Turner José Cano Elliot J. Crowley Björn Franke Amos Storkey Michael F. P. O'Boyle CVBM 10 38 0 20 Feb 2020
Knapsack Pruning with Inner Distillation Y. Aflalo Asaf Noy Ming Lin Itamar Friedman Lihi Zelnik-Manor 3DPC 17 34 0 19 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle Xinyu Zhang Kai Zhao Taihong Xiao Mingg-Ming Cheng Ming-Hsuan Yang 20 1 0 19 Feb 2020
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition Peiyan Dong Siyue Wang Wei Niu Chengming Zhang Sheng Lin ... Yifan Gong Bin Ren X. Lin Yanzhi Wang Dingwen Tao 11 45 0 19 Feb 2020
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization Meng Li Yilei Li P. Chuang Liangzhen Lai Vikas Chandra 9 3 0 13 Feb 2020
Network Pruning via Annealing and Direct Sparsity Control Yangzi Guo Yiyuan She Adrian Barbu 11 0 0 11 Feb 2020
Convolutional Neural Network Pruning Using Filter Attenuation Morteza Mousa Pasandi M. Hajabdollahi N. Karimi S. Samavi S. Shirani 3DPC 11 3 0 09 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 22 241 0 08 Feb 2020
DropCluster: A structured dropout for convolutional networks Liyang Chen P. Gautier Sergul Aydore 12 11 0 07 Feb 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing Canwen Xu Wangchunshu Zhou Tao Ge Furu Wei Ming Zhou 221 197 0 07 Feb 2020
Selective Convolutional Network: An Efficient Object Detector with Ignoring Background H. Ling Yangyang Qin Li Zhang Yuxuan Shi P. Li 23 0 0 04 Feb 2020
Widening and Squeezing: Towards Accurate and Efficient QNNs Chuanjian Liu Kai Han Yunhe Wang Hanting Chen Qi Tian Chunjing Xu MQ 8 0 0 03 Feb 2020
Automatic Pruning for Quantized Neural Networks Luis Guerra Bohan Zhuang Ian Reid Tom Drummond MQ 14 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 12 144 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 12 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 11 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 13 18 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 27 34 0 24 Jan 2020
Channel Pruning via Automatic Structure Search Mingbao Lin Rongrong Ji Yu-xin Zhang Baochang Zhang Yongjian Wu Yonghong Tian 76 241 0 23 Jan 2020