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Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

21 August 2018
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
    AAML
    VLM
ArXivPDFHTML

Papers citing "Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks"

50 / 101 papers shown
Title
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
23
1
0
28 Oct 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
15
89
0
26 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
22
128
0
26 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
26
1
0
21 Oct 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
43
2
0
15 Oct 2021
Prune Your Model Before Distill It
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
38
27
0
30 Sep 2021
Neural network relief: a pruning algorithm based on neural activity
Neural network relief: a pruning algorithm based on neural activity
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
43
10
0
22 Sep 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Xiangcheng Liu
Jian Cao
Hongyi Yao
Wenyu Sun
Yuan Zhang
38
2
0
14 Sep 2021
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train
  Decomposition for Convolutional Neural Networks
Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
Anuar Taskynov
Vladimir Korviakov
I. Mazurenko
Yepan Xiong
24
2
0
09 Aug 2021
Group Fisher Pruning for Practical Network Compression
Group Fisher Pruning for Practical Network Compression
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
25
146
0
02 Aug 2021
Training Compact CNNs for Image Classification using Dynamic-coded
  Filter Fusion
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
Mingbao Lin
Bohong Chen
Fei Chao
Rongrong Ji
VLM
25
23
0
14 Jul 2021
1xN Pattern for Pruning Convolutional Neural Networks
1xN Pattern for Pruning Convolutional Neural Networks
Mingbao Lin
Yu-xin Zhang
Yuchao Li
Bohong Chen
Fei Chao
Mengdi Wang
Shen Li
Yonghong Tian
Rongrong Ji
3DPC
31
40
0
31 May 2021
Carrying out CNN Channel Pruning in a White Box
Carrying out CNN Channel Pruning in a White Box
Yu-xin Zhang
Mingbao Lin
Chia-Wen Lin
Jie Chen
Feiyue Huang
Yongjian Wu
Yonghong Tian
R. Ji
VLM
36
58
0
24 Apr 2021
Content-Aware GAN Compression
Content-Aware GAN Compression
Yuchen Liu
Zhixin Shu
Yijun Li
Zhe-nan Lin
Federico Perazzi
S. Kung
GAN
24
58
0
06 Apr 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom
Kyung-Hwan Shim
Jee-Hyun Hwang
CVBM
25
12
0
19 Mar 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights
  Generation
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation
Stylianos I. Venieris
Javier Fernandez-Marques
Nicholas D. Lane
16
11
0
09 Mar 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning
AACP: Model Compression by Accurate and Automatic Channel Pruning
Lanbo Lin
Yujiu Yang
Zhenhua Guo
MQ
22
12
0
31 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
673
0
24 Jan 2021
Robustness and Transferability of Universal Attacks on Compressed Models
Robustness and Transferability of Universal Attacks on Compressed Models
Alberto G. Matachana
Kenneth T. Co
Luis Muñoz-González
David Martínez
Emil C. Lupu
AAML
19
10
0
10 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
44
116
0
25 Nov 2020
Auto Graph Encoder-Decoder for Neural Network Pruning
Auto Graph Encoder-Decoder for Neural Network Pruning
Sixing Yu
Arya Mazaheri
Ali Jannesari
GNN
19
38
0
25 Nov 2020
Rethinking Weight Decay For Efficient Neural Network Pruning
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
26
25
0
20 Nov 2020
Neural Network Compression Via Sparse Optimization
Neural Network Compression Via Sparse Optimization
Tianyi Chen
Bo Ji
Yixin Shi
Tianyu Ding
Biyi Fang
Sheng Yi
Xiao Tu
30
15
0
10 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
41
166
0
21 Oct 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
MQ
14
14
0
05 Oct 2020
Conditional Automated Channel Pruning for Deep Neural Networks
Conditional Automated Channel Pruning for Deep Neural Networks
Yixin Liu
Yong Guo
Zichang Liu
Hao Liu
Jingjie Zhang
Zejun Chen
Jing Liu
Jian Chen
6
16
0
21 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
Guan Li
Junpeng Wang
Han-Wei Shen
Kaixin Chen
Guihua Shan
Zhonghua Lu
AAML
16
47
0
08 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network)
  Compression
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
27
69
0
02 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan V. Oseledets
A. Cichocki
BDL
19
128
0
12 Aug 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Z. Su
Linpu Fang
Wenxiong Kang
D. Hu
M. Pietikäinen
Li Liu
6
44
0
08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang
Bohyung Han
AAML
31
138
0
08 Jul 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
9
5
0
08 Jun 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
X. Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
41
18
0
18 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With
  Trainable Masked Layers
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu
Zhe Xu
Runbin Shi
R. Cheung
Hayden Kwok-Hay So
9
119
0
14 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPC
MedIm
22
52
0
08 May 2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality
  Regularization and Singular Value Sparsification
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
Huanrui Yang
Minxue Tang
W. Wen
Feng Yan
Daniel Hu
Ang Li
H. Li
Yiran Chen
31
62
0
20 Apr 2020
GeneCAI: Genetic Evolution for Acquiring Compact AI
GeneCAI: Genetic Evolution for Acquiring Compact AI
Mojan Javaheripi
Mohammad Samragh
T. Javidi
F. Koushanfar
32
9
0
08 Apr 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer
  Programming
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
M. Elaraby
Guy Wolf
Margarida Carvalho
26
5
0
17 Feb 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
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
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
16
118
0
04 Jan 2020
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
16
246
0
18 Sep 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based
  Filter-Level Pruning
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang
Cong Fu
Jishun Guo
Deng Cai
Xiaofei He
VLM
13
71
0
25 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and
  Object Detection
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Zhuo Chen
Jiyuan Zhang
Ruizhou Ding
Diana Marculescu
13
12
0
19 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
16
6
0
12 Jun 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural
  Networks
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li
Q. Qi
Jingyu Wang
Ce Ge
Yujian Betterest Li
Zhangzhang Yue
Haifeng Sun
BDL
CML
19
53
0
28 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
VLM
22
71
0
11 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
13
170
0
28 Apr 2019
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
L. Dudziak
Robert D. Mullins
Chengzhong Xu
14
311
0
12 Oct 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
24
32
0
14 Jun 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Huiyuan Zhuo
Xuelin Qian
Yanwei Fu
Heng Yang
Xiangyang Xue
19
37
0
14 Jun 2018
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