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AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
v1v2 (latest)

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

5 December 2019
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
    OODUQCV
ArXiv (abs)PDFHTML

Papers citing "AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty"

12 / 62 papers shown
Title
Examining the Impact of Blur on Recognition by Convolutional Networks
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic
Ayan Chakrabarti
Gregory Shakhnarovich
54
197
0
17 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
517
10,330
0
16 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
158
3,454
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
772
36,813
0
25 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
333
8,130
0
13 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
340
7,985
0
23 May 2016
Improving the Robustness of Deep Neural Networks via Stability Training
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng
Yang Song
Thomas Leung
Ian Goodfellow
OOD
50
638
0
15 Apr 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
194
1,942
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
2.2K
194,020
0
10 Dec 2015
Posterior calibration and exploratory analysis for natural language
  processing models
Posterior calibration and exploratory analysis for natural language processing models
Khanh Nguyen
Brendan O'Connor
157
139
0
21 Aug 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
248
4,672
0
21 Dec 2014
Learning with Pseudo-Ensembles
Learning with Pseudo-Ensembles
Philip Bachman
O. Alsharif
Doina Precup
89
598
0
16 Dec 2014
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