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Removing the Feature Correlation Effect of Multiplicative Noise

Removing the Feature Correlation Effect of Multiplicative Noise

19 September 2018
Zijun Zhang
Yining Zhang
Zongpeng Li
ArXivPDFHTML

Papers citing "Removing the Feature Correlation Effect of Multiplicative Noise"

16 / 16 papers shown
Title
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
192
3,644
0
22 Mar 2018
Normalized Direction-preserving Adam
Normalized Direction-preserving Adam
Zijun Zhang
Lin Ma
Zongpeng Li
Chuan Wu
ODL
53
29
0
13 Sep 2017
Train longer, generalize better: closing the generalization gap in large
  batch training of neural networks
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
160
800
0
24 May 2017
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
68
133
0
07 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
711
36,708
0
25 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
334
10,467
0
21 Jul 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
306
7,971
0
23 May 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
63
222
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
326
10,172
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
82
610
0
19 Nov 2015
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
72
414
0
19 Nov 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
415
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Efficient Object Localization Using Convolutional Networks
Efficient Object Localization Using Convolutional Networks
Jonathan Tompson
Ross Goroshin
Arjun Jain
Yann LeCun
C. Bregler
3DH
151
1,350
0
16 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 2014
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