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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
Training Recipe for N:M Structured Sparsity with Decaying Pruning Mask Sheng-Chun Kao Amir Yazdanbakhsh Suvinay Subramanian Shivani Agrawal Utku Evci T. Krishna 128 12 0 15 Sep 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 103 24 0 11 Sep 2022
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference Qiao Zhang Tao Xiang Chunsheng Xin Biwen Chen Hongyi Wu 113 1 0 04 Sep 2022
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation Mustafa Ayazoglu Bahri Batuhan Bilecen SupR 106 4 0 31 Aug 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 62 24 0 29 Aug 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar Sidak Pal Singh Dan Alistarh MQ 147 245 0 24 Aug 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 77 79 0 23 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 123 3 0 22 Aug 2022
Entropy Induced Pruning Framework for Convolutional Neural Networks Yihe Lu Ziyu Guan Yaming Yang Maoguo Gong Wei Zhao Kaiyuan Feng 86 3 0 13 Aug 2022
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification Runxue Bao Bin Gu Heng-Chiao Huang 103 18 0 11 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu Javier Fernandez-Marques Pedro Gusmão Yan Gao Titouan Parcollet Nicholas D. Lane FedML 83 71 0 04 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 97 19 0 26 Jul 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution Yushu Wu Yifan Gong Pu Zhao Yanyu Li Zheng Zhan Wei Niu Hao Tang Minghai Qin Bin Ren Yanzhi Wang SupR MQ 84 23 0 25 Jul 2022
Trainability Preserving Neural Pruning Huan Wang Yun Fu AAML 70 17 0 25 Jul 2022
Low-complexity CNNs for Acoustic Scene Classification Arshdeep Singh Mark D. Plumbley 71 4 0 23 Jul 2022
Quantized Sparse Weight Decomposition for Neural Network Compression Andrey Kuzmin M. V. Baalen Markus Nagel Arash Behboodi MQ 60 3 0 22 Jul 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification Xiao-Ze Lin Seungbae Kim Jungseock Joo CVBM 94 42 0 22 Jul 2022
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets Yi Yang Chen Zhang Benyou Wang Dawei Song LRM 100 6 0 20 Jul 2022
Towards Lightweight Super-Resolution with Dual Regression Learning Yong Guo Mingkui Tan Zeshuai Deng Jingdong Wang Qi Chen Jingyun Liang Yanwu Xu Jian Chen SupR 117 11 0 16 Jul 2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning Chong Min John Tan Mehul Motani 69 57 0 14 Jul 2022
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis Long Zhuo Guangcong Wang Shikai Li Wayne Wu Ziwei Liu VGen 110 20 0 11 Jul 2022
Network Pruning via Feature Shift Minimization Y. Duan Yue Zhou Peng He Qiang Liu Shukai Duan Xiaofang Hu 79 4 0 06 Jul 2022
Probing via Prompting Jiaoda Li Ryan Cotterell Mrinmaya Sachan 109 13 0 04 Jul 2022
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks Yongming Rao Zuyan Liu Wenliang Zhao Jie Zhou Jiwen Lu ViT 86 38 0 04 Jul 2022
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution Taeho Kim Yongin Kwon Jemin Lee Taeho Kim Sangtae Ha 44 2 0 04 Jul 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 144 213 0 30 Jun 2022
Training Your Sparse Neural Network Better with Any Mask Ajay Jaiswal Haoyu Ma Tianlong Chen Ying Ding Zhangyang Wang CVBM 137 36 0 26 Jun 2022
EpiGRAF: Rethinking training of 3D GANs Ivan Skorokhodov Sergey Tulyakov Yiqun Wang Peter Wonka DiffM 117 126 0 21 Jun 2022
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework Xiaofeng Li Bin Ren Xipeng Shen Yanzhi Wang GNN 52 0 0 21 Jun 2022
Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation Hyunsu Rhee Dong Min Sun-Kyoo Hwang Bruno Andreis Sung Ju Hwang 116 1 0 20 Jun 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 64 7 0 17 Jun 2022
Asymptotic Soft Cluster Pruning for Deep Neural Networks Tao Niu Yinglei Teng Panpan Zou 21 2 0 16 Jun 2022
Not All Lotteries Are Made Equal Surya Kant Sahu Sai Mitheran Somya Suhans Mahapatra 19 1 0 16 Jun 2022
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness Tianlong Chen Huan Zhang Zhenyu Zhang Shiyu Chang Sijia Liu Pin-Yu Chen Zhangyang Wang AAML 63 11 0 15 Jun 2022
Structured Sparsity Learning for Efficient Video Super-Resolution Bin Xia Jingwen He Yulun Zhang Yitong Wang Yapeng Tian Wenming Yang Luc Van Gool 55 21 0 15 Jun 2022
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel David Bertrand T. Hannagan GNN SSeg 3DPC 66 2 0 13 Jun 2022
Leveraging Structured Pruning of Convolutional Neural Networks Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel David Bertrand T. Hannagan CVBM 56 1 0 13 Jun 2022
A Directed-Evolution Method for Sparsification and Compression of Neural Networks with Application to Object Identification and Segmentation and considerations of optimal quantization using small number of bits L. Franca-Neto 20 0 0 12 Jun 2022
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation Wenjing Yang G. Wang Jie Ding Yuhong Yang MLT 67 7 0 11 Jun 2022
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning Ziqi Zhou Li Lian Yilong Yin Ze Wang 31 1 0 07 Jun 2022
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge M. Malka Erez Farhan Hai Morgenstern Nir Shlezinger FedML 71 13 0 07 Jun 2022
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning Arnav Chavan Rishabh Tiwari Udbhav Bamba D. K. Gupta 81 5 0 03 Jun 2022
Real-Time Portrait Stylization on the Edge Yanyu Li Xuan Shen Geng Yuan Jiexiong Guan Wei Niu Hao Tang Bin Ren Yanzhi Wang 75 0 0 02 Jun 2022
Masked Bayesian Neural Networks : Computation and Optimality Insung Kong Dongyoon Yang Jongjin Lee Ilsang Ohn Yongdai Kim TPM 53 1 0 02 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y. Fu Haichuan Yang Jiayi Yuan Meng Li Cheng Wan Raghuraman Krishnamoorthi Vikas Chandra Yingyan Lin 130 19 0 02 Jun 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 60 0 0 30 May 2022
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction Han Cai Junyan Li Muyan Hu Chuang Gan Song Han 107 58 0 29 May 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations Steffen Schotthöfer Emanuele Zangrando J. Kusch Gianluca Ceruti Francesco Tudisco 125 38 0 26 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen Zhenyu Zhang Yihua Zhang Shiyu Chang Sijia Liu Zhangyang Wang AAML 80 25 0 24 May 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking Ilchae Jung Minji Kim Eunhyeok Park Bohyung Han 67 3 0 23 May 2022