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Pruning Filters for Efficient ConvNets
v1v2v3 (latest)

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Pruning Filters for Efficient ConvNets"

46 / 1,596 papers shown
Title
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
291
19,431
0
13 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren
A. Pokrovsky
Binh Yang
R. Urtasun
136
180
0
07 Jan 2018
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale
  Home Surveillance Videos
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
Ruichi Yu
Hongcheng Wang
L. Davis
47
23
0
06 Jan 2018
Deep Hashing with Category Mask for Fast Video Retrieval
Deep Hashing with Category Mask for Fast Video Retrieval
Xuantong Liu
Lili Zhao
Dajun Ding
Yajiao Dong
42
8
0
22 Dec 2017
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Tianshui Chen
Liang Lin
W. Zuo
Xiaonan Luo
Lei Zhang
59
56
0
20 Dec 2017
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
Eunwoo Kim
Chanho Ahn
Songhwai Oh
44
2
0
11 Dec 2017
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
Mengwei Xu
Feng Qian
Mengze Zhu
Feifan Huang
Saumay Pushp
Xuanzhe Liu
71
23
0
01 Dec 2017
WSNet: Compact and Efficient Networks Through Weight Sampling
WSNet: Compact and Efficient Networks Through Weight Sampling
Xiaojie Jin
Yingzhen Yang
N. Xu
Jianchao Yang
Nebojsa Jojic
Jiashi Feng
Shuicheng Yan
49
2
0
28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
154
640
0
26 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
129
799
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
130
72
0
23 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
100
470
0
22 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
74
801
0
16 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
119
1,312
0
15 Nov 2017
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks
  for Image Super Resolution
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
SupR
59
27
0
11 Nov 2017
Interpreting Convolutional Neural Networks Through Compression
Interpreting Convolutional Neural Networks Through Compression
R. Abbasi-Asl
Bin Yu
FAtt
49
21
0
07 Nov 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
99
239
0
06 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
156
1,101
0
23 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
204
1,286
0
05 Oct 2017
Structured Probabilistic Pruning for Convolutional Neural Network
  Acceleration
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Huan Wang
Qiming Zhang
Yuehai Wang
Roland Hu
117
11
0
20 Sep 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
H. Li
MQ
137
142
0
15 Sep 2017
Training Shallow and Thin Networks for Acceleration via Knowledge
  Distillation with Conditional Adversarial Networks
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks
Zheng Xu
Yen-Chang Hsu
Jiawei Huang
GAN
106
12
0
02 Sep 2017
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
182
2,428
0
22 Aug 2017
BitNet: Bit-Regularized Deep Neural Networks
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan
Mohamed R. Amer
S. Chai
Graham Taylor
MQ
68
10
0
16 Aug 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
63
1,763
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
228
2,538
0
19 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
128
81
0
10 Jul 2017
Towards lightweight convolutional neural networks for object detection
Towards lightweight convolutional neural networks for object detection
Dmitriy Anisimov
T. Khanova
ObjD
84
40
0
05 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
135
563
0
05 Jul 2017
An Entropy-based Pruning Method for CNN Compression
An Entropy-based Pruning Method for CNN Compression
Jian-Hao Luo
Jianxin Wu
48
180
0
19 Jun 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
166
1,661
0
01 Jun 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural
  Networks
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao
Song Han
Jeff Pool
Wenshuo Li
Xingyu Liu
Yu Wang
W. Dally
133
244
0
24 May 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain
  Surgeon
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
205
510
0
22 May 2017
Structural Compression of Convolutional Neural Networks
Structural Compression of Convolutional Neural Networks
R. Abbasi-Asl
Bin Yu
61
16
0
20 May 2017
Espresso: Efficient Forward Propagation for BCNNs
Espresso: Efficient Forward Propagation for BCNNs
Fabrizio Pedersoli
George Tzanetakis
Andrea Tagliasacchi
MQ
40
13
0
19 May 2017
Building effective deep neural network architectures one feature at a
  time
Building effective deep neural network architectures one feature at a time
Martin Mundt
Tobias Weis
K. Konda
Visvanathan Ramesh
34
1
0
18 May 2017
Automatic Real-time Background Cut for Portrait Videos
Automatic Real-time Background Cut for Portrait Videos
Xiaoyong Shen
Jiafei Wu
Hengshuang Zhao
Jiaya Jia
3DHVOS
41
3
0
28 Apr 2017
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao
Xiaojuan Qi
Xiaoyong Shen
Jianping Shi
Jiaya Jia
SSeg
104
1,416
0
27 Apr 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on
  Video Data
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
Lukas Cavigelli
Philippe Degen
Luca Benini
BDL
81
51
0
14 Apr 2017
Towards thinner convolutional neural networks through Gradually Global
  Pruning
Towards thinner convolutional neural networks through Gradually Global Pruning
Z. Wang
Ce Zhu
Zhiqiang Xia
Qi Guo
Yipeng Liu
CVBM
34
4
0
29 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang
Danlu Chen
Tianhong Li
Felix Wu
Laurens van der Maaten
Kilian Q. Weinberger
VLM
73
140
0
29 Mar 2017
Coordinating Filters for Faster Deep Neural Networks
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
66
138
0
28 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
85
288
0
25 Mar 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
89
133
0
21 Feb 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
Anton Van Den Hengel
Javen Qinfeng Shi
Mingkui Tan
101
13
0
06 Nov 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning
Compact Deep Convolutional Neural Networks With Coarse Pruning
S. Anwar
Wonyong Sung
3DPC
70
55
0
30 Oct 2016
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