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Network Trimming: A Data-Driven Neuron Pruning Approach towards
  Efficient Deep Architectures

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

12 July 2016
Hengyuan Hu
Rui Peng
Yu-Wing Tai
Chi-Keung Tang
ArXivPDFHTML

Papers citing "Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures"

31 / 131 papers shown
Title
Depth-wise Decomposition for Accelerating Separable Convolutions in
  Efficient Convolutional Neural Networks
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
50
11
0
21 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
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for
  Real-time Execution on Mobile Devices
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma
Fu-Ming Guo
Wei Niu
Xue Lin
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
CVBM
27
173
0
06 Sep 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition
Deep Sparse Band Selection for Hyperspectral Face Recognition
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
CVBM
20
11
0
15 Aug 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
24
6
0
12 Jun 2019
Online Filter Clustering and Pruning for Efficient Convnets
Online Filter Clustering and Pruning for Efficient Convnets
Zhengguang Zhou
Wen-gang Zhou
Richang Hong
Houqiang Li
16
23
0
28 May 2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
Xiaocong Du
Zheng Li
Yu Cao
VLM
23
10
0
27 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 Kumar Verma
Piyush Rai
Vinay P. Namboodiri
VLM
33
71
0
11 May 2019
Continual Learning via Neural Pruning
Continual Learning via Neural Pruning
Siavash Golkar
Michael Kagan
Kyunghyun Cho
CLL
21
159
0
11 Mar 2019
Speeding up convolutional networks pruning with coarse ranking
Speeding up convolutional networks pruning with coarse ranking
Zehao Wang
Chengcheng Li
Dali Wang
Xiangyang Wang
Hairong Qi
15
0
0
18 Feb 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter
  Pruning
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
Shaohui Lin
Rongrong Ji
Yuchao Li
Cheng Deng
Xuelong Li
30
70
0
23 Jan 2019
Studying the Plasticity in Deep Convolutional Neural Networks using
  Random Pruning
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
3DPC
36
31
0
26 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Yuchao Li
Shaohui Lin
Baochang Zhang
Jianzhuang Liu
David Doermann
Yongjian Wu
Feiyue Huang
Rongrong Ji
43
130
0
11 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
20
13
0
10 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
24
27
0
29 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
45
16
0
23 Nov 2018
RePr: Improved Training of Convolutional Filters
RePr: Improved Training of Convolutional Filters
Aaditya (Adi) Prakash
J. Storer
D. Florêncio
Cha Zhang
VLM
CVBM
35
57
0
18 Nov 2018
Demystifying Neural Network Filter Pruning
Demystifying Neural Network Filter Pruning
Zhuwei Qin
Fuxun Yu
Adam Lesnikowski
Xiang Chen
27
5
0
29 Oct 2018
Functionality-Oriented Convolutional Filter Pruning
Functionality-Oriented Convolutional Filter Pruning
Zhuwei Qin
Fuxun Yu
Chenchen Liu
Xiang Chen
24
4
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
1,452
0
11 Oct 2018
Shift-based Primitives for Efficient Convolutional Neural Networks
Shift-based Primitives for Efficient Convolutional Neural Networks
Huasong Zhong
Xianggen Liu
Yihui He
Yuchun Ma
35
20
0
22 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
30
41
0
06 Sep 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
15
1
0
08 Jul 2018
Understanding Convolutional Neural Networks with Information Theory: An
  Initial Exploration
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
Shujian Yu
Kristoffer Wickstrøm
Robert Jenssen
José C. Príncipe
22
73
0
18 Apr 2018
Avoiding overfitting of multilayer perceptrons by training derivatives
Avoiding overfitting of multilayer perceptrons by training derivatives
V. Avrutskiy
34
4
0
28 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
35
1,342
0
10 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional
  Neural Networks
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
VLM
36
65
0
31 Jan 2018
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
113
2,508
0
19 Jul 2017
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
Image reconstruction by domain transform manifold learning
Image reconstruction by domain transform manifold learning
Bo Zhu
Jeremiah Zhe Liu
Bruce Rosen
Matthew S. Rosen
32
1,518
0
28 Apr 2017
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale
  Systems
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems
Charles Siegel
J. Daily
Abhinav Vishnu
AI4CE
18
10
0
03 Oct 2016
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