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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
Faster Neural Network Training with Approximate Tensor Operations
Faster Neural Network Training with Approximate Tensor Operations
Menachem Adelman
Kfir Y. Levy
Ido Hakimi
M. Silberstein
256
30
0
21 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant
  Deep Networks
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Xiuyuan Cheng
Qiang Qiu
Robert Calderbank
Guillermo Sapiro
171
47
0
17 May 2018
Boosting up Scene Text Detectors with Guided CNN
Boosting up Scene Text Detectors with Guided CNN
Xiaoyu Yue
Zhanghui Kuang
Zhaoyang Zhang
Zhenfang Chen
Pan He
Yu Qiao
Wayne Zhang
146
8
0
10 May 2018
Robustness via Deep Low-Rank Representations
Robustness via Deep Low-Rank Representations
Amartya Sanyal
Varun Kanade
Juil Sock
P. Dokania
OOD
388
18
0
19 Apr 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
230
108
0
17 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
331
456
0
16 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with
  Applications to Generalization Bounds
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
Cenk Baykal
Lucas Liebenwein
Igor Gilitschenski
Dan Feldman
Daniela Rus
355
83
0
15 Apr 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections
Select, Attend, and Transfer: Light, Learnable Skip Connections
Saeid Asgari Taghanaki
A. Bentaieb
Anmol Sharma
S. Kevin Zhou
Yefeng Zheng
...
Puneet Sharma
Sasa Grbic
Zhoubing Xu
Dorin Comaniciu
Ghassan Hamarneh
223
23
0
14 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu
Zhiding Yu
Srikumar Ramalingam
221
16
0
05 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese
  Character Recognition
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Zhiyuan Li
Nanjun Teng
Min Jin
Huaxiang Lu
118
52
0
04 Apr 2018
A Survey on Deep Learning Methods for Robot Vision
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
168
64
0
28 Mar 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GANAAML
155
61
0
28 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
97
8
0
24 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design
SqueezeNext: Hardware-Aware Neural Network Design
A. Gholami
K. Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Kurt Keutzer
178
319
0
23 Mar 2018
Task dependent Deep LDA pruning of neural networks
Task dependent Deep LDA pruning of neural networks
Qing Tian
Tal Arbel
James J. Clark
227
0
0
21 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
342
859
0
19 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey
  and Future Directions
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future DirectionsACM Computing Surveys (CSUR), 2018
Stylianos I. Venieris
Alexandros Kouris
C. Bouganis
177
198
0
15 Mar 2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets
  Compression
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
Dong Wang
Lei Zhou
Xueni Zhang
Xiao Bai
Jun Zhou
141
50
0
15 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information BottleneckInternational Conference on Machine Learning (ICML), 2018
Bin Dai
Chen Zhu
David Wipf
MLT
301
191
0
28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
185
35
0
27 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge IntelligenceIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2018
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng Jiang
Yiyu Shi
264
5
0
26 Feb 2018
DeepThin: A Self-Compressing Library for Deep Neural Networks
DeepThin: A Self-Compressing Library for Deep Neural Networks
Matthew Sotoudeh
Sara S. Baghsorkhi
65
4
0
20 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
132
111
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
459
1,442
0
10 Feb 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
Qinghao Hu
Peisong Wang
Jian Cheng
MQ
197
99
0
08 Feb 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
261
90
0
07 Feb 2018
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
VIBNN: Hardware Acceleration of Bayesian Neural Networks
VIBNN: Hardware Acceleration of Bayesian Neural Networks
R. Cai
Ao Ren
Ning Liu
Caiwen Ding
Luhao Wang
Xuehai Qian
Massoud Pedram
Yanzhi Wang
BDL
205
96
0
02 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
242
121
0
01 Feb 2018
Inference, Learning and Attention Mechanisms that Exploit and Preserve
  Sparsity in Convolutional Networks
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
Timo Hackel
Mikhail (Misha) Usvyatsov
S. Galliani
Jan Dirk Wegner
Konrad Schindler
233
15
0
31 Jan 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional
  Neural Networks
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
VLM
145
68
0
31 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved
  Regularization in Convolutional Networks
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Jason Kuen
Xiangfei Kong
Zhe Lin
G. Wang
Jianxiong Yin
Simon See
Yap-Peng Tan
BDL
158
26
0
29 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
VLM
178
182
0
23 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman
L. Roese-Koerner
A. Kummert
249
105
0
19 Jan 2018
StressedNets: Efficient Feature Representations via Stress-induced
  Evolutionary Synthesis of Deep Neural Networks
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
M. Shafiee
Brendan Chwyl
Francis Li
Rongyan Chen
Michelle Karg
C. Scharfenberger
A. Wong
74
7
0
16 Jan 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
73
16
0
16 Jan 2018
Fix your classifier: the marginal value of training the last weight
  layer
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer
Itay Hubara
Daniel Soudry
280
104
0
14 Jan 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh
Ganesh Ananthanarayanan
P. Bodík
P. Bahl
Matthai Philipose
Phillip B. Gibbons
O. Mutlu
192
294
0
10 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren
A. Pokrovsky
Binh Yang
R. Urtasun
224
188
0
07 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
151
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
127
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
279
142
0
14 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
69
2
0
11 Dec 2017
Probabilistic Adaptive Computation Time
Probabilistic Adaptive Computation Time
Michael Figurnov
Artem Sobolev
Dmitry Vetrov
BDL
171
8
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
120
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
234
210
0
17 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
276
859
0
16 Nov 2017
Compression-aware Training of Deep Networks
Compression-aware Training of Deep Networks
J. Álvarez
Mathieu Salzmann
238
177
0
07 Nov 2017
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
382
127
0
07 Nov 2017
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