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Learning Efficient Convolutional Networks through Network Slimming

Learning Efficient Convolutional Networks through Network Slimming

22 August 2017
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
ArXivPDFHTML

Papers citing "Learning Efficient Convolutional Networks through Network Slimming"

50 / 237 papers shown
Title
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
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
Dario Guidotti
Luca Pulina
A. Tacchella
3DV
12
3
0
18 Nov 2020
Self-grouping Convolutional Neural Networks
Self-grouping Convolutional Neural Networks
Qingbei Guo
Xiaojun Wu
J. Kittler
Zhiquan Feng
25
22
0
29 Sep 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su
Yihang Chen
Tianle Cai
Tianhao Wu
Ruiqi Gao
Liwei Wang
J. Lee
6
85
0
22 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet
  without Tricks
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Zhiqiang Shen
Marios Savvides
23
63
0
17 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
29
69
0
02 Sep 2020
Training Sparse Neural Networks using Compressed Sensing
Training Sparse Neural Networks using Compressed Sensing
Jonathan W. Siegel
Jianhong Chen
Pengchuan Zhang
Jinchao Xu
24
5
0
21 Aug 2020
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Yujun Lin
J. Cohn
Chuang Gan
Song Han
56
471
0
20 Jul 2020
Channel-Level Variable Quantization Network for Deep Image Compression
Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong
Hiroaki Akutsu
Kiyoharu Aizawa
19
20
0
15 Jul 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
36
27
0
13 Jul 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
8
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
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Rethinking Bottleneck Structure for Efficient Mobile Network Design
Zhou Daquan
Qibin Hou
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
24
197
0
05 Jul 2020
Single Shot Structured Pruning Before Training
Single Shot Structured Pruning Before Training
Joost R. van Amersfoort
Milad Alizadeh
Sebastian Farquhar
Nicholas D. Lane
Y. Gal
16
22
0
01 Jul 2020
New Interpretations of Normalization Methods in Deep Learning
New Interpretations of Normalization Methods in Deep Learning
Jiacheng Sun
Xiangyong Cao
Hanwen Liang
Weiran Huang
Zewei Chen
Zhenguo Li
11
34
0
16 Jun 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization
  Policy
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang
Kuan-Chieh Jackson Wang
Han Cai
Ji Lin
Zhijian Liu
Song Han
MQ
36
174
0
15 Jun 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
Feature Statistics Guided Efficient Filter Pruning
Feature Statistics Guided Efficient Filter Pruning
Hang Li
Chen-li Ma
W. Xu
Xue Liu
15
34
0
21 May 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
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
GAN Compression: Efficient Architectures for Interactive Conditional
  GANs
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Muyang Li
Ji Lin
Yaoyao Ding
Zhijian Liu
Jun-Yan Zhu
Song Han
GAN
17
2
0
19 Mar 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
126
189
0
19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron
  Trimming
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Madan Ravi Ganesh
Jason J. Corso
S. Y. Sekeh
MQ
30
15
0
18 Mar 2020
Resolution Adaptive Networks for Efficient Inference
Resolution Adaptive Networks for Efficient Inference
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
16
215
0
16 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
382
0
05 Mar 2020
HRank: Filter Pruning using High-Rank Feature Map
HRank: Filter Pruning using High-Rank Feature Map
Mingbao Lin
Rongrong Ji
Yan Wang
Yichen Zhang
Baochang Zhang
Yonghong Tian
Ling Shao
8
714
0
24 Feb 2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN
  Accelerators
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
Zhanhong Tan
Jiebo Song
Xiaolong Ma
S. Tan
Hongyang Chen
...
Yifu Wu
Shaokai Ye
Yanzhi Wang
Dehui Li
Kaisheng Ma
27
24
0
11 Feb 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
25
22
0
29 Jan 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
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
32
72
0
07 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
19
118
0
04 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
14
13
0
02 Jan 2020
Towards Efficient Training for Neural Network Quantization
Towards Efficient Training for Neural Network Quantization
Qing Jin
Linjie Yang
Zhenyu A. Liao
MQ
11
42
0
21 Dec 2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei
Yingwei Li
Xiaochen Lian
Xiaojie Jin
Linjie Yang
Alan Yuille
Jianchao Yang
16
107
0
20 Dec 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo
Jianxin Wu
14
112
0
19 Nov 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
17
9
0
29 Oct 2019
Fully Quantized Transformer for Machine Translation
Fully Quantized Transformer for Machine Translation
Gabriele Prato
Ella Charlaix
Mehdi Rezagholizadeh
MQ
13
68
0
17 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting
  Steepest Descent
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
Dilin Wang
Meng Li
Lemeng Wu
Vikas Chandra
Qiang Liu
36
20
0
07 Oct 2019
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
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency
  Improvement
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
Qing Yang
Jiachen Mao
Zuoguan Wang
H. Li
13
15
0
13 Sep 2019
Learning Filter Basis for Convolutional Neural Network Compression
Learning Filter Basis for Convolutional Neural Network Compression
Yawei Li
Shuhang Gu
Luc Van Gool
Radu Timofte
SupR
14
97
0
23 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via
  Asymmetric Convolution Blocks
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding
Yuchen Guo
Guiguang Ding
J. Han
11
659
0
11 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
26
44
0
10 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification
MoBiNet: A Mobile Binary Network for Image Classification
Hai T. Phan
Dang T. Huynh
Yihui He
Marios Savvides
Zhiqiang Shen
MQ
36
48
0
29 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Hervé Jégou
MQ
29
149
0
12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural
  Networks
A Targeted Acceleration and Compression Framework for Low bit Neural Networks
Biao Qian
Yang Wang
MQ
27
0
0
09 Jul 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
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
Making CNNs for Video Parsing Accessible
Making CNNs for Video Parsing Accessible
Zijin Luo
Matthew J. Guzdial
Mark O. Riedl
16
9
0
10 Jun 2019
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