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Speeding-up Convolutional Neural Networks Using Fine-tuned
  CP-Decomposition
v1v2v3 (latest)

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

International Conference on Learning Representations (ICLR), 2014
19 December 2014
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
ArXiv (abs)PDFHTML

Papers citing "Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition"

50 / 412 papers shown
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
100
3
0
03 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu
Jianqiang Yao
Zhouchen Lin
Wenwu Ou
Yuanbin Cao
Zhirong Wang
H. Zha
MQ
249
121
0
01 Feb 2018
Rank Selection of CP-decomposed Convolutional Layers with Variational
  Bayesian Matrix Factorization
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization
Marcella Astrid
Seung-Ik Lee
Beom-Su Seo
BDL
85
16
0
16 Jan 2018
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2017
Tianshui Chen
Liang Lin
W. Zuo
Xiaonan Luo
Lei Zhang
163
57
0
20 Dec 2017
clcNet: Improving the Efficiency of Convolutional Neural Network using
  Channel Local Convolutions
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions
Dong-Qing Zhang
204
10
0
17 Dec 2017
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
Guangxi Li
Jinmian Ye
Haiqin Yang
Di Chen
Shuicheng Yan
Zenglin Xu
140
11
0
15 Dec 2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
280
142
0
14 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
121
2
0
28 Nov 2017
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mason Liu
Menglong Zhu
ObjD
253
210
0
17 Nov 2017
Compression-aware Training of Deep Networks
Compression-aware Training of Deep Networks
J. Álvarez
Mathieu Salzmann
244
177
0
07 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
889
1,192
0
23 Oct 2017
Deep Neural Network Approximation using Tensor Sketching
Deep Neural Network Approximation using Tensor Sketching
S. Kasiviswanathan
Nina Narodytska
Hongxia Jin
143
10
0
21 Oct 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
490
1,661
0
09 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
416
1,408
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
250
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
212
11
0
20 Sep 2017
Dynamic Tensor Clustering
Dynamic Tensor Clustering
W. Sun
Lexin Li
198
64
0
24 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
127
13
0
31 Jul 2017
Tensor Regression Networks
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
377
163
0
26 Jul 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Cong Leng
Hao Li
Shenghuo Zhu
Rong Jin
MQ
185
296
0
24 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
682
2,686
0
19 Jul 2017
Pruning Convolutional Neural Networks for Image Instance Retrieval
Pruning Convolutional Neural Networks for Image Instance Retrieval
Gaurav Manek
Jie Lin
V. Chandrasekhar
Ling-Yu Duan
Sateesh Giduthuri
Xiaoli Li
T. Poggio
155
2
0
18 Jul 2017
Tensor-Train Recurrent Neural Networks for Video Classification
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang
Denis Krompass
Volker Tresp
183
262
0
06 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
905
7,978
0
04 Jul 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
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
179
100
0
07 Jun 2017
Tensor Contraction Layers for Parsimonious Deep Nets
Tensor Contraction Layers for Parsimonious Deep Nets
Jean Kossaifi
Aran Khanna
Zachary Chase Lipton
Tommaso Furlanello
Anima Anandkumar
165
62
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
329
255
0
24 May 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
23,753
0
17 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
205
140
0
28 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML3DV
338
3,383
0
27 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
227
38
0
07 Mar 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
202
135
0
21 Feb 2017
CP-decomposition with Tensor Power Method for Convolutional Neural
  Networks Compression
CP-decomposition with Tensor Power Method for Convolutional Neural Networks CompressionInternational Conference on Big Data and Smart Computing (BigComp), 2017
Marcella Astrid
Seung-Ik Lee
104
91
0
25 Jan 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective ExecutionAAAI Conference on Artificial Intelligence (AAAI), 2017
Lanlan Liu
Gaowen Liu
397
212
0
02 Jan 2017
Parallelized Tensor Train Learning of Polynomial Classifiers
Parallelized Tensor Train Learning of Polynomial ClassifiersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016
Zhongming Chen
Kim Batselier
Johan A. K. Suykens
Ngai Wong
228
49
0
20 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
233
210
0
05 Dec 2016
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
221
201
0
10 Nov 2016
Fixed-point Factorized Networks
Fixed-point Factorized Networks
Peisong Wang
Jian Cheng
MQ
198
43
0
07 Nov 2016
Tensor Computation: A New Framework for High-Dimensional Problems in EDA
Tensor Computation: A New Framework for High-Dimensional Problems in EDAIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2016
Zheng Zhang
Kim Batselier
Haotian Liu
Luca Daniel
Ngai Wong
142
39
0
13 Oct 2016
Fast Training of Convolutional Neural Networks via Kernel Rescaling
Fast Training of Convolutional Neural Networks via Kernel Rescaling
Pedro Porto Buarque de Gusmão
Gianluca Francini
S. Lepsøy
E. Magli
105
5
0
12 Oct 2016
Dynamic Network Surgery for Efficient DNNs
Dynamic Network Surgery for Efficient DNNsNeural Information Processing Systems (NeurIPS), 2016
Yiwen Guo
Anbang Yao
Yurong Chen
359
1,125
0
16 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park
Sheng Li
W. Wen
P. T. P. Tang
Hai Helen Li
Yiran Chen
Pradeep Dubey
404
186
0
04 Aug 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Andrew Ioannou
D. Robertson
R. Cipolla
A. Criminisi
315
287
0
20 May 2016
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
Yongxin Yang
Timothy M. Hospedales
166
266
0
20 May 2016
Exponential Machines
Exponential Machines
Alexander Novikov
Mikhail Trofimov
Ivan Oseledets
123
15
0
12 May 2016
Convolutional Tables Ensemble: classification in microseconds
Convolutional Tables Ensemble: classification in microseconds
Aharon Bar-Hillel
Eyal Krupka
Noam Bloom
94
2
0
14 Feb 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
144
41
0
31 Dec 2015
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
462
1,224
0
21 Dec 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
300
929
0
20 Nov 2015
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