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
Comprehensive Online Network Pruning via Learnable Scaling Factors Muhammad Umair Haider M. Taj 16 6 0 06 Oct 2020
A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions Rahul Mishra Hari Prabhat Gupta Tanima Dutta 16 88 0 05 Oct 2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration Jingfei Chang Yang Lu Ping Xue Xing Wei Zhen Wei 6 2 0 03 Oct 2020
Pruning Filter in Filter Fanxu Meng Hao Cheng Ke Li Huixiang Luo Xiao-Wei Guo Guangming Lu Xing Sun VLM 32 104 0 30 Sep 2020
Self-grouping Convolutional Neural Networks Qingbei Guo Xiaojun Wu J. Kittler Zhiquan Feng 25 22 0 29 Sep 2020
Grow-Push-Prune: aligning deep discriminants for effective structural network compression Qing Tian Tal Arbel James J. Clark 6 8 0 29 Sep 2020
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time G. Takos SSeg 3DV VLM 25 19 0 27 Sep 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot Jingtong Su Yihang Chen Tianle Cai Tianhao Wu Ruiqi Gao Liwei Wang J. Lee 14 85 0 22 Sep 2020
Searching for Low-Bit Weights in Quantized Neural Networks Zhaohui Yang Yunhe Wang Kai Han Chunjing Xu Chao Xu Dacheng Tao Chang Xu MQ 25 82 0 18 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 28 63 0 17 Sep 2020
Holistic Filter Pruning for Efficient Deep Neural Networks Lukas Enderich Fabian Timm Wolfram Burgard 29 7 0 17 Sep 2020
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework Junjie Liu Dongchao Wen Deyu Wang Wei Tao Tse-Wei Chen Kinya Osa Masami Kato MQ 20 3 0 10 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 31 47 0 08 Sep 2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu 6 9 0 04 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 29 69 0 02 Sep 2020
Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach Malena Reiners K. Klamroth Michael Stiglmayr 6 16 0 31 Aug 2020
An Integrated Approach to Produce Robust Models with High Efficiency Zhijian Li Bao Wang Jack Xin MQ AAML 12 3 0 31 Aug 2020
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference Ziheng Wang 34 66 0 26 Aug 2020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework Haotao Wang Shupeng Gui Haichuan Yang Ji Liu Zhangyang Wang 6 81 0 25 Aug 2020
HALO: Learning to Prune Neural Networks with Shrinkage Skyler Seto M. Wells Wenyu Zhang 19 0 0 24 Aug 2020
Matching Guided Distillation Kaiyu Yue Jiangfan Deng Feng Zhou 14 49 0 23 Aug 2020
Data-Independent Structured Pruning of Neural Networks via Coresets Ben Mussay Dan Feldman Samson Zhou Vladimir Braverman Margarita Osadchy 21 25 0 19 Aug 2020
Cascaded channel pruning using hierarchical self-distillation Roy Miles K. Mikolajczyk 24 7 0 16 Aug 2020
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency Fuxun Yu Chenchen Liu Di Wang Yanzhi Wang Xiang Chen 6 7 0 14 Aug 2020
Towards Modality Transferable Visual Information Representation with Optimal Model Compression Rongqun Lin Linwei Zhu Shiqi Wang Sam Kwong 27 2 0 13 Aug 2020
Hardware-Centric AutoML for Mixed-Precision Quantization Kuan-Chieh Jackson Wang Zhijian Liu Yujun Lin Ji Lin Song Han MQ 14 14 0 11 Aug 2020
RARTS: An Efficient First-Order Relaxed Architecture Search Method Fanghui Xue Y. Qi Jack Xin 24 1 0 10 Aug 2020
Structured Convolutions for Efficient Neural Network Design Yash Bhalgat Yizhe Zhang J. Lin Fatih Porikli 6 8 0 06 Aug 2020
TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning Han Cai Chuang Gan Ligeng Zhu Song Han 24 51 0 22 Jul 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 22 71 0 20 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Yujun Lin J. Cohn Chuang Gan Song Han 62 475 0 20 Jul 2020
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm Anthony Berthelier Yongzhe Yan T. Chateau C. Blanc S. Duffner Christophe Garcia 15 8 0 20 Jul 2020
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs H. Habi Roy H. Jennings Arnon Netzer MQ 29 65 0 20 Jul 2020
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices Wei Niu Mengshu Sun Zechao Li Jou-An Chen Jiexiong Guan Xipeng Shen Yanzhi Wang Sijia Liu Xue Lin Bin Ren MQ 13 12 0 20 Jul 2020
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks Xinghao Chen Yiman Zhang Yunhe Wang VLM 19 15 0 16 Jul 2020
Channel-Level Variable Quantization Network for Deep Image Compression Zhisheng Zhong Hiroaki Akutsu Kiyoharu Aizawa 19 20 0 15 Jul 2020
AQD: Towards Accurate Fully-Quantized Object Detection Peng Chen Jing Liu Bohan Zhuang Mingkui Tan Chunhua Shen MQ 29 10 0 14 Jul 2020
T-Basis: a Compact Representation for Neural Networks Anton Obukhov M. Rakhuba Stamatios Georgoulis Menelaos Kanakis Dengxin Dai Luc Van Gool 39 27 0 13 Jul 2020
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs H. T. Kung Bradley McDanel S. Zhang MQ 21 9 0 13 Jul 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer Xinghao Chen Yiman Zhang Yunhe Wang Han Shu Chunjing Xu Chang Xu VGen 13 54 0 10 Jul 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks Z. Su Linpu Fang Wenxiong Kang D. Hu M. Pietikäinen Li Liu 15 44 0 08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang Bohyung Han AAML 33 138 0 08 Jul 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding Tianxiang Hao Jianchao Tan Ji Liu Jungong Han Yuchen Guo Guiguang Ding 21 162 0 07 Jul 2020
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning Bailin Li Bowen Wu Jiang Su Guangrun Wang Liang Lin 12 174 0 06 Jul 2020
Weight-dependent Gates for Network Pruning Yun Li Zechun Liu Weiqun Wu Haotian Yao Xinming Zhang Chi Zhang B. Yin 31 13 0 04 Jul 2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths Linjie Yang Qing Jin MQ 14 74 0 04 Jul 2020
Learning to Prune in Training via Dynamic Channel Propagation S. Shen Rongpeng Li Zhifeng Zhao Honggang Zhang Yugeng Zhou 6 4 0 03 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture Jinhua Liang Tao Zhang Guoqing Feng 16 16 0 02 Jul 2020
Single Shot Structured Pruning Before Training Joost R. van Amersfoort Milad Alizadeh Sebastian Farquhar Nicholas D. Lane Y. Gal 19 22 0 01 Jul 2020
Statistical Mechanical Analysis of Neural Network Pruning Rupam Acharyya Ankani Chattoraj Boyu Zhang Shouman Das Daniel Stefankovic 26 0 0 30 Jun 2020