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Speeding up Convolutional Neural Networks with Low Rank Expansions

Speeding up Convolutional Neural Networks with Low Rank Expansions

15 May 2014
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
ArXivPDFHTML

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

36 / 236 papers shown
Title
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
21
93
0
05 May 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
25
51
0
14 Apr 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
26
288
0
25 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
Liang Zhao
Siyu Liao
Yanzhi Wang
Zhe Li
Jian Tang
Victor Pan
Bo Yuan
31
61
0
01 Mar 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
36
502
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
26
18
0
20 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
22
191
0
05 Dec 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
13
89
0
20 Nov 2016
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
23
412
0
19 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
297
10,225
0
16 Nov 2016
Towards Deep Compositional Networks
Towards Deep Compositional Networks
Domen Tabernik
Matej Kristan
J. Wyatt
A. Leonardis
CoGe
16
18
0
13 Sep 2016
Grid Loss: Detecting Occluded Faces
Grid Loss: Detecting Occluded Faces
M. Opitz
Georg Waltner
Georg Poier
Horst Possegger
Horst Bischof
CVBM
32
76
0
01 Sep 2016
Design of Efficient Convolutional Layers using Single Intra-channel
  Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Min Wang
Baoyuan Liu
H. Foroosh
27
51
0
15 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
47
2,320
0
12 Aug 2016
Clockwork Convnets for Video Semantic Segmentation
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
37
199
0
11 Aug 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via Pruning
A. See
Minh-Thang Luong
Christopher D. Manning
MedIm
VLM
21
221
0
29 Jun 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
32
1,098
0
25 Jun 2016
Efficient Optimization for Rank-based Loss Functions
Efficient Optimization for Rank-based Loss Functions
Pritish Mohapatra
Michal Rolínek
C. V. Jawahar
V. Kolmogorov
M. P. Kumar
16
38
0
27 Apr 2016
Refining Architectures of Deep Convolutional Neural Networks
Refining Architectures of Deep Convolutional Neural Networks
S. Shankar
D. Robertson
Yani Andrew Ioannou
A. Criminisi
R. Cipolla
3DV
17
30
0
22 Apr 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
54
4,331
0
16 Mar 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 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
13
40
0
31 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DH
CVBM
24
141
0
07 Dec 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
30
96
0
24 Nov 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
14
460
0
19 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
21
302
0
31 Oct 2015
From Facial Parts Responses to Face Detection: A Deep Learning Approach
From Facial Parts Responses to Face Detection: A Deep Learning Approach
Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
22
570
0
22 Sep 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
33
26
0
21 Jul 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
45
646
0
22 Jun 2015
Compressing Convolutional Neural Networks
Compressing Convolutional Neural Networks
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
24
139
0
14 Jun 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
32
46
0
09 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
44
447
0
08 Jun 2015
An exploration of parameter redundancy in deep networks with circulant
  projections
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
41
49
0
11 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
57
7,992
0
31 Dec 2014
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
29
1,288
0
04 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
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