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Training CNNs with Low-Rank Filters for Efficient Image Classification

Training CNNs with Low-Rank Filters for Efficient Image Classification

20 November 2015
Yani Andrew Ioannou
D. Robertson
Jamie Shotton
R. Cipolla
A. Criminisi
ArXivPDFHTML

Papers citing "Training CNNs with Low-Rank Filters for Efficient Image Classification"

30 / 30 papers shown
Title
Low-Rank Compression for IMC Arrays
Low-Rank Compression for IMC Arrays
Kang Eun Jeon
Johnny Rhe
J. Ko
45
0
0
10 Feb 2025
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Yue Niu
Ramy E. Ali
Saurav Prakash
Salman Avestimehr
FedML
38
2
0
05 Dec 2023
Cuttlefish: Low-Rank Model Training without All the Tuning
Cuttlefish: Low-Rank Model Training without All the Tuning
Hongyi Wang
Saurabh Agarwal
Pongsakorn U-chupala
Yoshiki Tanaka
Eric P. Xing
Dimitris Papailiopoulos
OffRL
63
22
0
04 May 2023
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
54
32
0
10 Mar 2022
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
65
56
0
03 May 2021
An Information-Theoretic Justification for Model Pruning
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
95
35
0
16 Feb 2021
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
19
9
0
29 Oct 2019
Branched Multi-Task Networks: Deciding What Layers To Share
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
25
145
0
05 Apr 2019
Studying the Plasticity in Deep Convolutional Neural Networks using
  Random Pruning
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
3DPC
36
31
0
26 Dec 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
30
41
0
06 Sep 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
20
96
0
10 Jul 2018
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating
  Training and Testing
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing
Jianzhong Sheng
Chuanbo Chen
Chenchen Fu
Chun Jason Xue
18
4
0
05 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural
  Networks
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
Ke Sun
Mingjie Li
Dong Liu
Jingdong Wang
45
126
0
01 Jun 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
16
105
0
17 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
25
79
0
15 Apr 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
36
65
0
31 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
16
7
0
16 Jan 2018
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
42
462
0
22 Nov 2017
Compression-aware Training of Deep Networks
Compression-aware Training of Deep Networks
J. Álvarez
Mathieu Salzmann
21
172
0
07 Nov 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
32
4
0
07 Sep 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
36
81
0
10 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
37
95
0
07 Jun 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
38
37
0
07 Mar 2017
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Sanghoon Hong
Byungseok Roh
Kye-Hyeon Kim
Yeongjae Cheon
Minje Park
ObjD
29
82
0
23 Nov 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
21
384
0
16 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
68
716
0
07 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
84
3,659
0
31 Aug 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
2,323
0
12 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
33
182
0
04 Aug 2016
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