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Channel Pruning for Accelerating Very Deep Neural Networks

Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017
Yihui He
Xiangyu Zhang
Jian-jun Sun
ArXivPDFHTML

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

40 / 1,090 papers shown
Title
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
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
12
36
0
12 Jun 2018
Deep Mixture of Experts via Shallow Embedding
Deep Mixture of Experts via Shallow Embedding
Xin Wang
F. I. F. Richard Yu
Lisa Dunlap
Yi-An Ma
Ruth Wang
Azalia Mirhoseini
Trevor Darrell
Joseph E. Gonzalez
MoE
19
1
0
05 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural
  Networks
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
Ke Sun
Mingjie Li
Dong Liu
Jingdong Wang
37
126
0
01 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
13
180
0
29 May 2018
A novel channel pruning method for deep neural network compression
A novel channel pruning method for deep neural network compression
Yiming Hu
Siyang Sun
Jianquan Li
Xingang Wang
Qingyi Gu
12
66
0
29 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
10
207
0
23 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against
  Neural Networks
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
Wenshuo Li
Jincheng Yu
Xuefei Ning
Pengjun Wang
Qi Wei
Yu Wang
Huazhong Yang
AAML
31
61
0
14 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference
  Stage
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou
Yi-Ming Chan
Jia-Hong Lee
Chih-Yi Chiu
Chu-Song Chen
MoMe
27
34
0
14 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
22
88
0
06 May 2018
SdcNet: A Computation-Efficient CNN for Object Recognition
SdcNet: A Computation-Efficient CNN for Object Recognition
Yunlong Ma
Chunyan Wang
21
3
0
03 May 2018
CompNet: Neural networks growing via the compact network morphism
CompNet: Neural networks growing via the compact network morphism
Jun Lu
Wei-Ying Ma
Boi Faltings
GNN
11
4
0
27 Apr 2018
Accelerator-Aware Pruning for Convolutional Neural Networks
Accelerator-Aware Pruning for Convolutional Neural Networks
Hyeong-Ju Kang
11
88
0
26 Apr 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections
Select, Attend, and Transfer: Light, Learnable Skip Connections
Saeid Asgari Taghanaki
A. Bentaieb
Anmol Sharma
S. Kevin Zhou
Yefeng Zheng
...
Puneet Sharma
Sasa Grbic
Zhoubing Xu
D. Comaniciu
Ghassan Hamarneh
28
20
0
14 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese
  Character Recognition
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Zhiyuan Li
Nanjun Teng
Min Jin
Huaxiang Lu
15
51
0
04 Apr 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
17
28
0
27 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for
  Mobile Applications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin
Zhaoning Zhang
Shiqing Zhang
Hao Yu
Yuxing Peng
6
7
0
24 Mar 2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets
  Compression
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
Dong Wang
Lei Zhou
Xueni Zhang
Xiao Bai
Jun Zhou
13
47
0
15 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
32
3,385
0
09 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for
  Accuracy, Speed and Storage
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Qiuyu Zhu
Ruixin Zhang
3DH
19
5
0
07 Mar 2018
Deep Neural Network Compression with Single and Multiple Level
  Quantization
Deep Neural Network Compression with Single and Multiple Level Quantization
Yuhui Xu
Yongzhuang Wang
Aojun Zhou
Weiyao Lin
H. Xiong
MQ
20
114
0
06 Mar 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
20
33
0
27 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
26
104
0
11 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
33
1,339
0
10 Feb 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
81
85
0
07 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural
  Networks
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
Jian Cheng
Peisong Wang
Gang Li
Qinghao Hu
Hanqing Lu
27
3
0
03 Feb 2018
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
Jianbo Ye
Xin Lu
Zhe-nan Lin
J. Z. Wang
11
405
0
01 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
28
65
0
31 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved
  Regularization in Convolutional Networks
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Jason Kuen
Xiangfei Kong
Zhe-nan Lin
G. Wang
Jianxiong Yin
Simon See
Yap-Peng Tan
BDL
10
25
0
29 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
VLM
26
176
0
23 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren
A. Pokrovsky
Binh Yang
R. Urtasun
25
179
0
07 Jan 2018
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
Eunwoo Kim
Chanho Ahn
Songhwai Oh
18
2
0
11 Dec 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
F. I. F. Richard Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
25
625
0
26 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
39
795
0
25 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
70
0
23 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
29
1,087
0
23 Oct 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
Structural Compression of Convolutional Neural Networks
Structural Compression of Convolutional Neural Networks
R. Abbasi-Asl
Bin-Xia Yu
25
16
0
20 May 2017
The Shallow End: Empowering Shallower Deep-Convolutional Networks
  through Auxiliary Outputs
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs
Yong Guo
Jian Chen
Qingyao Wu
A. Hengel
Javen Qinfeng Shi
Mingkui Tan
19
13
0
06 Nov 2016
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