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Speeding up Convolutional Neural Networks with Low Rank Expansions

Speeding up Convolutional Neural Networks with Low Rank Expansions

British Machine Vision Conference (BMVC), 2014
15 May 2014
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
ArXiv (abs)PDFHTML

Papers citing "Speeding up Convolutional Neural Networks with Low Rank Expansions"

50 / 667 papers shown
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate
  Deep Neural Networks
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks
Sanchari Sen
Shubham Jain
Swagath Venkataramani
A. Raghunathan
117
33
0
07 Nov 2017
Knowledge Projection for Deep Neural Networks
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
123
15
0
26 Oct 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
861
1,190
0
23 Oct 2017
Deep Neural Network Approximation using Tensor Sketching
Deep Neural Network Approximation using Tensor Sketching
S. Kasiviswanathan
Nina Narodytska
Hongxia Jin
116
9
0
21 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
355
1,405
0
05 Oct 2017
Improving Efficiency in Convolutional Neural Network with Multilinear
  Filters
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
D. Tran
Alexandros Iosifidis
Moncef Gabbouj
244
43
0
28 Sep 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
209
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
Xue Yang
MQ
475
142
0
15 Sep 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature
  Representations through Sexual Evolutionary Synthesis
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis
A. Chung
M. Shafiee
Paul Fieguth
A. Wong
95
4
0
07 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
2.8K
31,657
0
05 Sep 2017
Domain-adaptive deep network compression
Domain-adaptive deep network compression
Marc Masana
Joost van de Weijer
Luis Herranz
Andrew D. Bagdanov
J. Álvarez
218
63
0
04 Sep 2017
Performance Guaranteed Network Acceleration via High-Order Residual
  Quantization
Performance Guaranteed Network Acceleration via High-Order Residual Quantization
Zefan Li
Bingbing Ni
Wenjun Zhang
Xiaokang Yang
Wen Gao
MQ
204
111
0
29 Aug 2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using
  Block-CirculantWeight Matrices
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Caiwen Ding
Siyu Liao
Yanzhi Wang
Zhe Li
Ning Liu
...
Yipeng Zhang
Jian Tang
Qinru Qiu
Xinyu Lin
Bo Yuan
GNN
160
274
0
29 Aug 2017
Prune the Convolutional Neural Networks with Sparse Shrink
Prune the Convolutional Neural Networks with Sparse Shrink
Xuzhao Li
Changsong Liu
CVBM
57
4
0
08 Aug 2017
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN
Taegyoung Lee
Wissam J. Baddar
S. T. Kim
Yong Man Ro
124
13
0
31 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
637
2,683
0
19 Jul 2017
Binarized Convolutional Neural Networks with Separable Filters for
  Efficient Hardware Acceleration
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration
Jeng-Hau Lin
Tianwei Xing
Ritchie Zhao
Zhiru Zhang
Mani B. Srivastava
Zhuowen Tu
Rajesh K. Gupta
MQ
110
24
0
15 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
261
87
0
10 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
363
603
0
05 Jul 2017
Model compression as constrained optimization, with application to
  neural nets. Part I: general framework
Model compression as constrained optimization, with application to neural nets. Part I: general framework
Miguel Á. Carreira-Perpiñán
MQ
116
34
0
05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
821
7,925
0
04 Jul 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized
  Neural Networks
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Shuchang Zhou
Yuzhi Wang
He Wen
Qinyao He
Yuheng Zou
MQ
181
113
0
22 Jun 2017
MEC: Memory-efficient Convolution for Deep Neural Network
MEC: Memory-efficient Convolution for Deep Neural Network
Minsik Cho
D. Brand
120
91
0
21 Jun 2017
Using Convolutional Neural Networks in Robots with Limited Computational
  Resources: Detecting NAO Robots while Playing Soccer
Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer
Nicolás Cruz
Kenzo Lobos-Tsunekawa
Javier Ruiz-del-Solar
107
36
0
20 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNsComputer Vision and Pattern Recognition (CVPR), 2017
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
175
100
0
07 Jun 2017
Computation-Performance Optimization of Convolutional Neural Networks
  with Redundant Kernel Removal
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal
Chih-Ting Liu
Yi-Heng Wu
Yu-Sheng Lin
Shao-Yi Chien
SupR
81
6
0
30 May 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
307
192
0
20 May 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
522
103
0
05 May 2017
Exploring Sparsity in Recurrent Neural Networks
Exploring Sparsity in Recurrent Neural Networks
Sharan Narang
Erich Elsen
G. Diamos
Shubho Sengupta
169
323
0
17 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.4K
23,572
0
17 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
186
52
0
14 Apr 2017
Evolution in Groups: A deeper look at synaptic cluster driven evolution
  of deep neural networks
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks
M. Shafiee
Elnaz Barshan
A. Wong
141
15
0
07 Apr 2017
DyVEDeep: Dynamic Variable Effort Deep Neural Networks
DyVEDeep: Dynamic Variable Effort Deep Neural Networks
Sanjay Ganapathy
Swagath Venkataramani
Balaraman Ravindran
A. Raghunathan
93
8
0
04 Apr 2017
Truncating Wide Networks using Binary Tree Architectures
Truncating Wide Networks using Binary Tree Architectures
Yan Zhang
Mete Ozay
Shuohao Li
Takayuki Okatani
MQ
127
4
0
03 Apr 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
201
140
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
219
297
0
25 Mar 2017
Multiscale Hierarchical Convolutional Networks
Multiscale Hierarchical Convolutional Networks
J. Jacobsen
Edouard Oyallon
S. Mallat
A. Smeulders
133
17
0
12 Mar 2017
Sharing Residual Units Through Collective Tensor Factorization in Deep
  Neural Networks
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks
Yunpeng Chen
Xiaojie Jin
Bingyi Kang
Jiashi Feng
Shuicheng Yan
226
38
0
07 Mar 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low
  Displacement Rank
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Bo Pan
Siyu Liao
Yanzhi Wang
Zhe Li
Jian Tang
Victor Pan
Bo Yuan
378
62
0
01 Mar 2017
Building Fast and Compact Convolutional Neural Networks for Offline
  Handwritten Chinese Character Recognition
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character RecognitionPattern Recognition (PR), 2017
Xuefeng Xiao
Lianwen Jin
Yafeng Yang
Weixin Yang
Jun Sun
Tianhai Chang
125
157
0
26 Feb 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
193
135
0
21 Feb 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network CompressionInternational Conference on Learning Representations (ICLR), 2017
Karen Ullrich
Edward Meeds
Max Welling
394
437
0
13 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian QuantizationComputer Vision and Pattern Recognition (CVPR), 2017
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
289
528
0
03 Feb 2017
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
132
19
0
20 Dec 2016
Filter sharing: Efficient learning of parameters for volumetric
  convolutions
Filter sharing: Efficient learning of parameters for volumetric convolutions
Rahul Venkataramani
S. Thiruvenkadam
Prasad Sudhakar
Hariharan Ravishankar
V. Vaidya
3DPCMedIm
124
0
0
08 Dec 2016
Spatially Adaptive Computation Time for Residual Networks
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
216
367
0
07 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
226
210
0
05 Dec 2016
Parameter Compression of Recurrent Neural Networks and Degradation of
  Short-term Memory
Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory
Jonathan A. Cox
147
6
0
02 Dec 2016
Effective Quantization Methods for Recurrent Neural Networks
Effective Quantization Methods for Recurrent Neural Networks
Qinyao He
He Wen
Shuchang Zhou
Yuxin Wu
Cong Yao
Xinyu Zhou
Yuheng Zou
MQ
176
80
0
30 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
188
95
0
20 Nov 2016
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