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Approximated Orthonormal Normalisation in Training Neural Networks

Approximated Orthonormal Normalisation in Training Neural Networks

21 November 2019
Guoqiang Zhang
Kenta Niwa
W. Kleijn
ArXivPDFHTML

Papers citing "Approximated Orthonormal Normalisation in Training Neural Networks"

23 / 23 papers shown
Title
Orthogonal Deep Neural Networks
Orthogonal Deep Neural Networks
Kui Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
59
132
0
15 May 2019
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
49
2,482
0
19 Apr 2019
Iterative Normalization: Beyond Standardization towards Efficient
  Whitening
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Lei Huang
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
45
142
0
06 Apr 2019
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
59
188
0
22 Oct 2018
Decorrelated Batch Normalization
Decorrelated Batch Normalization
Lei Huang
Dawei Yang
B. Lang
Jia Deng
34
192
0
23 Apr 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
141
3,626
0
22 Mar 2018
Norm matters: efficient and accurate normalization schemes in deep
  networks
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer
Ron Banner
Itay Golan
Daniel Soudry
OffRL
35
179
0
05 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
130
4,421
0
16 Feb 2018
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
225
2,496
0
08 Jun 2017
Spectral Norm Regularization for Improving the Generalizability of Deep
  Learning
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida
Takeru Miyato
71
328
0
31 May 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in
  Batch-Normalized Models
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
BDL
45
538
0
10 Feb 2017
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
59
457
0
22 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
616
36,599
0
25 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
118
3,689
0
27 Jul 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
239
10,412
0
21 Jul 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
254
7,951
0
23 May 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
141
1,933
0
25 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.1K
76,547
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
290
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
166
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
776
149,474
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
891
99,991
0
04 Sep 2014
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