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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"

27 / 327 papers shown
Title
Detecting The Objects on The Road Using Modular Lightweight Network
Detecting The Objects on The Road Using Modular Lightweight Network
Sen Cao
Yazhou Liu
P. Lasang
Shengmei Shen
ObjD
19
7
0
16 Nov 2018
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge
  Devices
Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
Xiaofang Xu
M. Park
C. Brick
17
26
0
01 Nov 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
42
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
1,453
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
29
31
0
10 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin
Chun-Nan Chou
Edward Y. Chang
MQ
16
4
0
18 Sep 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions
Network Decoupling: From Regular to Depthwise Separable Convolutions
Jianbo Guo
Yuxi Li
Weiyao Lin
Yurong Chen
Jianguo Li
3DV
OOD
19
84
0
16 Aug 2018
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Abhinav Valada
Rohit Mohan
Wolfram Burgard
SSL
25
242
0
11 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
51
4,929
0
30 Jul 2018
Filter Distillation for Network Compression
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
24
38
0
20 Jul 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
24
37
0
14 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
15
180
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
18
207
0
23 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
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
16
105
0
17 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Ameya Prabhu
Vishal Batchu
Rohit Gajawada
Sri Aurobindo Munagala
A. Namboodiri
MQ
33
18
0
11 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
25
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
8
7
0
24 Mar 2018
Essentially No Barriers in Neural Network Energy Landscape
Essentially No Barriers in Neural Network Energy Landscape
Felix Dräxler
K. Veschgini
M. Salmhofer
Fred Hamprecht
MoMe
22
424
0
02 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
26
178
0
28 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
29
104
0
11 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
Jianmin Wang
27
406
0
01 Feb 2018
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
71
0
23 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
53
1,274
0
15 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
40
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
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
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