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
Filter Sketch for Network Pruning Mingbao Lin Liujuan Cao Shaojie Li QiXiang Ye Yonghong Tian Jianzhuang Liu Q. Tian Rongrong Ji CLIP 3DPC 25 82 0 23 Jan 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method Xiaolong Ma ZeLin Li Yifan Gong Tianyun Zhang Wei Niu ... Pu Zhao Jian Tang X. Lin Bin Ren Yanzhi Wang 17 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 38 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 33 27 0 20 Jan 2020
A "Network Pruning Network" Approach to Deep Model Compression Vinay K. Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai 3DPC VLM 20 8 0 15 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 29 50 0 14 Jan 2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification Morteza Mousa Pasandi M. Hajabdollahi N. Karimi S. Samavi 3DPC 14 18 0 13 Jan 2020
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators Noah Gamboa Kais Kudrolli Anand Dhoot A. Pedram 14 10 0 09 Jan 2020
Sparse Weight Activation Training Md Aamir Raihan Tor M. Aamodt 32 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 19 118 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 22 44 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 X. Lin Yanzhi Wang Bin Ren MQ 18 226 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 18 194 0 31 Dec 2019
Domain Adaptation Regularization for Spectral Pruning Laurent Dillard Yosuke Shinya Taiji Suzuki 19 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 9 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 19 107 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 13 198 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 22 21 0 13 Dec 2019
Deep Model Compression Via Two-Stage Deep Reinforcement Learning Huixin Zhan Wei-Ming Lin Yongcan Cao 8 12 0 04 Dec 2019
Tropical Polynomial Division and Neural Networks Georgios Smyrnis Petros Maragos 11 12 0 29 Nov 2019
Orthogonal Convolutional Neural Networks Jiayun Wang Yubei Chen Rudrasis Chakraborty Stella X. Yu 19 183 0 27 Nov 2019
GhostNet: More Features from Cheap Operations Kai Han Yunhe Wang Qi Tian Jianyuan Guo Chunjing Xu Chang Xu 20 2,579 0 27 Nov 2019
Domain-Aware Dynamic Networks Tianyuan Zhang Bichen Wu Xin Wang Joseph E. Gonzalez Kurt Keutzer 22 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 25 27 0 25 Nov 2019
Deep Mixture Density Network for Probabilistic Object Detection Yihui He Jianren Wang UQCV 37 5 0 24 Nov 2019
Graph Pruning for Model Compression Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou GNN 27 9 0 22 Nov 2019
Few Shot Network Compression via Cross Distillation Haoli Bai Jiaxiang Wu Irwin King Michael Lyu FedML 20 60 0 21 Nov 2019
CUP: Cluster Pruning for Compressing Deep Neural Networks Rahul Duggal Cao Xiao R. Vuduc Jimeng Sun 3DPC VLM 16 22 0 19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data Jian-Hao Luo Jianxin Wu 14 112 0 19 Nov 2019
Fine-Grained Neural Architecture Search Heewon Kim Seokil Hong Bohyung Han Heesoo Myeong Kyoung Mu Lee AI4CE 14 13 0 18 Nov 2019
Provable Filter Pruning for Efficient Neural Networks Lucas Liebenwein Cenk Baykal Harry Lang Dan Feldman Daniela Rus VLM 3DPC 21 140 0 18 Nov 2019
Distributed Low Precision Training Without Mixed Precision Zehua Cheng Weiyan Wang Yan Pan Thomas Lukasiewicz MQ 18 5 0 18 Nov 2019
ASV: Accelerated Stereo Vision System Yu Feng P. Whatmough Yuhao Zhu 11 34 0 15 Nov 2019
ASCAI: Adaptive Sampling for acquiring Compact AI Mojan Javaheripi Mohammad Samragh T. Javidi F. Koushanfar 26 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 22 21 0 13 Nov 2019
Structural Pruning in Deep Neural Networks: A Small-World Approach Gokul Krishnan Xiaocong Du Yu Cao 17 8 0 11 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 11 10 0 06 Nov 2019
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices Hongjia Li Sheng Lin Ning Liu Caiwen Ding Yanzhi Wang 6 1 0 04 Nov 2019
Ternary MobileNets via Per-Layer Hybrid Filter Banks Dibakar Gope Jesse G. Beu Urmish Thakker Matthew Mattina MQ 24 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 27 82 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 Katie Zhao Yingyan Lin Zhangyang Wang MQ 21 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 17 73 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 45 11 0 21 Oct 2019
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs Yiren Zhao Xitong Gao Xuan Guo Junyi Liu Erwei Wang Robert D. Mullins P. Cheung G. Constantinides Chengzhong Xu MQ 19 31 0 21 Oct 2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF) Yinan Yu Samuel Scheidegger T. McKelvey 11 2 0 21 Oct 2019
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning Ke Zhan Shi-qiang Jiang Yunru Bai Y. Li Xu Liu Zhuoran Xu 13 0 0 21 Oct 2019
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System Ze Yang Linjun Shou Ming Gong Wutao Lin Daxin Jiang 12 92 0 18 Oct 2019
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs Yue Niu Hanqing Zeng Ajitesh Srivastava Kartik Lakhotia R. Kannan Yanzhi Wang Viktor Prasanna MQ 11 8 0 16 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 17 34 0 16 Oct 2019
Reduced-Order Modeling of Deep Neural Networks Julia Gusak Talgat Daulbaev E. Ponomarev A. Cichocki Ivan V. Oseledets BDL AI4CE 14 8 0 15 Oct 2019