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Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
v1v2v3v4 (latest)

Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding

28 February 2018
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
ArXiv (abs)PDFHTML

Papers citing "Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding"

22 / 22 papers shown
Title
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
79
188
0
22 Oct 2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical
  Weights and Thresholds
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
Xiaohan Chen
Jialin Liu
Zhangyang Wang
W. Yin
72
234
0
29 Aug 2018
Learning Simple Thresholded Features with Sparse Support Recovery
Learning Simple Thresholded Features with Sparse Support Recovery
Hongyu Xu
Zhangyang Wang
Haichuan Yang
Ding Liu
Ji Liu
67
32
0
16 Apr 2018
Normalizing the Normalizers: Comparing and Extending Network
  Normalization Schemes
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Mengye Ren
Renjie Liao
R. Urtasun
Fabian H. Sinz
R. Zemel
72
81
0
14 Nov 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,494
0
21 Jul 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,532
0
23 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,195
0
14 Nov 2015
Fully Connected Deep Structured Networks
Fully Connected Deep Structured Networks
Alex Schwing
R. Urtasun
SSeg
132
309
0
09 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
243
2,536
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
155
8,087
0
31 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
225
475
0
21 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
593
12,713
0
11 Dec 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
274
14,711
0
20 Jun 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
120
1,500
0
14 Apr 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,279
0
16 Dec 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Çağlar Gülçehre
Kyunghyun Cho
Razvan Pascanu
Yoshua Bengio
96
170
0
07 Nov 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
243
2,178
0
18 Feb 2013
Learnable Pooling Regions for Image Classification
Learnable Pooling Regions for Image Classification
Mateusz Malinowski
Mario Fritz
67
39
0
15 Jan 2013
Learning efficient sparse and low rank models
Learning efficient sparse and low rank models
Pablo Sprechmann
A. Bronstein
Guillermo Sapiro
157
192
0
14 Dec 2012
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
127
1,278
0
05 Mar 2012
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
208
1,341
0
03 Dec 2010
Enhancing Sparsity by Reweighted L1 Minimization
Enhancing Sparsity by Reweighted L1 Minimization
Emmanuel J. Candes
M. Wakin
Stephen P. Boyd
215
5,046
0
10 Nov 2007
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