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Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

1 February 2018
Jianbo Ye
Xin Lu
Zhe-nan Lin
J. Z. Wang
ArXivPDFHTML

Papers citing "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

43 / 193 papers shown
Title
Automatic Neural Network Compression by Sparsity-Quantization Joint
  Learning: A Constrained Optimization-based Approach
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach
Haichuan Yang
Shupeng Gui
Yuhao Zhu
Ji Liu
MQ
20
5
0
14 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
New Perspective of Interpretability of Deep Neural Networks
New Perspective of Interpretability of Deep Neural Networks
Masanari Kimura
Masayuki Tanaka
AAML
FAtt
FaML
AI4CE
17
5
0
12 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep
  Residual Networks
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks
Shuang Gao
Xin Liu
Lung-Sheng Chien
William Zhang
J. Álvarez
VLM
3DPC
16
15
0
10 Sep 2019
Group Pruning using a Bounded-Lp norm for Group Gating and
  Regularization
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
Chaithanya Kumar Mummadi
Tim Genewein
Dan Zhang
Thomas Brox
Volker Fischer
32
3
0
09 Aug 2019
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
Pengyi Zhang
Yunxin Zhong
Xiaoqiong Li
13
198
0
25 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
18
11
0
13 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and
  Controllable Deep Inference
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference
Yue Wang
Jianghao Shen
Ting-Kuei Hu
Pengfei Xu
T. Nguyen
Richard Baraniuk
Zhangyang Wang
Yingyan Lin
16
75
0
10 Jul 2019
Importance Estimation for Neural Network Pruning
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
10
857
0
25 Jun 2019
Joint Regularization on Activations and Weights for Efficient Neural
  Network Pruning
Joint Regularization on Activations and Weights for Efficient Neural Network Pruning
Q. Yang
W. Wen
Zuoguan Wang
H. Li
8
1
0
19 Jun 2019
The Generalization-Stability Tradeoff In Neural Network Pruning
The Generalization-Stability Tradeoff In Neural Network Pruning
Brian Bartoldson
Ari S. Morcos
Adrian Barbu
G. Erlebacher
24
72
0
09 Jun 2019
Structured Compression by Weight Encryption for Unstructured Pruning and
  Quantization
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
S. Kwon
Dongsoo Lee
Byeongwook Kim
Parichay Kapoor
Baeseong Park
Gu-Yeon Wei
MQ
21
48
0
24 May 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture Search
Xuanyi Dong
Yi Yang
3DPC
21
240
0
23 May 2019
Implicit Filter Sparsification In Convolutional Neural Networks
Implicit Filter Sparsification In Convolutional Neural Networks
Dushyant Mehta
K. Kim
Christian Theobalt
11
1
0
13 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width
  Optimization
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization
Xiaohan Ding
Guiguang Ding
Yuchen Guo
J. Han
C. Yan
AAML
21
123
0
12 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
16
170
0
28 Apr 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Yang He
Ping Liu
Linchao Zhu
Yi Yang
VLM
16
45
0
08 Apr 2019
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
Jiahui Yu
Thomas Huang
26
56
0
27 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial
  Learning
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin
Rongrong Ji
Chenqian Yan
Baochang Zhang
Liujuan Cao
QiXiang Ye
Feiyue Huang
David Doermann
CVBM
11
503
0
22 Mar 2019
Really should we pruning after model be totally trained? Pruning based
  on a small amount of training
Really should we pruning after model be totally trained? Pruning based on a small amount of training
Li Yue
Zhao Weibin
Shang-Te Lin
VLM
9
5
0
24 Jan 2019
How Compact?: Assessing Compactness of Representations through
  Layer-Wise Pruning
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Hyun-Joo Jung
Jaedeok Kim
Yoonsuck Choe
16
0
0
09 Jan 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
22
547
0
21 Dec 2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision
  Neural Networks
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks
M. Park
Xiaofang Xu
C. Brick
MQ
25
8
0
20 Dec 2018
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards
  Accurate Lightweight Networks
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen
Yuan Zhang
Di Xie
Shiliang Pu
22
13
0
17 Dec 2018
Channel-wise pruning of neural networks with tapering resource
  constraint
Channel-wise pruning of neural networks with tapering resource constraint
A. Kruglov
6
1
0
04 Dec 2018
Neural Rejuvenation: Improving Deep Network Training by Enhancing
  Computational Resource Utilization
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
Siyuan Qiao
Zhe-nan Lin
Jianming Zhang
Alan Yuille
8
23
0
02 Dec 2018
On Implicit Filter Level Sparsity in Convolutional Neural Networks
On Implicit Filter Level Sparsity in Convolutional Neural Networks
Dushyant Mehta
K. Kim
Christian Theobalt
14
27
0
29 Nov 2018
Stability Based Filter Pruning for Accelerating Deep CNNs
Stability Based Filter Pruning for Accelerating Deep CNNs
Pravendra Singh
Vinay Sameer Raja Kadi
N. Verma
Vinay P. Namboodiri
CVBM
10
26
0
20 Nov 2018
Larger Norm More Transferable: An Adaptive Feature Norm Approach for
  Unsupervised Domain Adaptation
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Ruijia Xu
Guanbin Li
Jihan Yang
Liang Lin
14
17
0
19 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML
3DPC
22
1,037
0
01 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks
Discrimination-aware Channel Pruning for Deep Neural Networks
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
14
594
0
28 Oct 2018
Distilling with Performance Enhanced Students
Distilling with Performance Enhanced Students
Jack Turner
Elliot J. Crowley
Valentin Radu
José Cano
Amos Storkey
Michael F. P. O'Boyle
13
3
0
24 Oct 2018
Functionality-Oriented Convolutional Filter Pruning
Functionality-Oriented Convolutional Filter Pruning
Zhuwei Qin
Fuxun Yu
Chenchen Liu
Xiang Chen
16
4
0
12 Oct 2018
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
28
311
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
10
1,449
0
11 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
27
31
0
10 Oct 2018
Dynamic Sparse Graph for Efficient Deep Learning
Dynamic Sparse Graph for Efficient Deep Learning
L. Liu
Lei Deng
Xing Hu
Maohua Zhu
Guoqi Li
Yufei Ding
Yuan Xie
GNN
32
42
0
01 Oct 2018
Layer-compensated Pruning for Resource-constrained Convolutional Neural
  Networks
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks
Ting-Wu Chin
Cha Zhang
Diana Marculescu
29
46
0
01 Oct 2018
Characterising Across-Stack Optimisations for Deep Convolutional Neural
  Networks
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
Jack Turner
José Cano
Valentin Radu
Elliot J. Crowley
Michael F. P. O'Boyle
Amos Storkey
16
40
0
19 Sep 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
43
134
0
22 Aug 2018
Detecting Dead Weights and Units in Neural Networks
Detecting Dead Weights and Units in Neural Networks
Utku Evci
CVBM
19
7
0
15 Jun 2018
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
53
558
0
05 Jul 2017
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