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2003.03879
Cited By
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
9 March 2020
Sanghyuk Chun
Seong Joon Oh
Sangdoo Yun
Dongyoon Han
Junsuk Choe
Y. Yoo
AAML
OOD
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Papers citing
"An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods"
41 / 41 papers shown
Title
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
492
4,728
0
13 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
17
3,386
0
28 Mar 2019
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
49
905
0
09 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
44
2,638
0
29 Nov 2018
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
68
908
0
30 Oct 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
28
573
0
29 Oct 2018
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim
Minkyu Kim
Dongjoo Seo
Jinwoong Kim
Heungseok Park
...
KyungHyun Kim
Youngil Yang
Youngkwan Kim
Nako Sung
Jung-Woo Ha
25
131
0
08 Oct 2018
Generalisation in humans and deep neural networks
Robert Geirhos
Carlos R. Medina Temme
Jonas Rauber
Heiko H. Schutt
Matthias Bethge
Felix Wichmann
OOD
59
604
0
27 Aug 2018
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
44
1,765
0
30 May 2018
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
73
1,760
0
24 May 2018
Adversarial Logit Pairing
Harini Kannan
Alexey Kurakin
Ian Goodfellow
AAML
48
626
0
16 Mar 2018
ShakeDrop Regularization for Deep Residual Learning
Yoshihiro Yamada
Masakazu Iwamura
Takuya Akiba
K. Kise
39
162
0
07 Feb 2018
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Nako Sung
Minkyu Kim
Hyunwoo Jo
Youngil Yang
Jingwoong Kim
...
Youngkwan Kim
Gayoung Lee
Donghyun Kwak
Jung-Woo Ha
Sunghun Kim
43
86
0
16 Dec 2017
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
77
878
0
26 Nov 2017
Attacking the Madry Defense Model with
L
1
L_1
L
1
-based Adversarial Examples
Yash Sharma
Pin-Yu Chen
34
118
0
30 Oct 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
191
9,663
0
25 Oct 2017
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
205
26,140
0
05 Sep 2017
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
53
3,607
0
16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
51
3,731
0
15 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
148
11,944
0
19 Jun 2017
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
84
5,746
0
14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
72
2,042
0
08 Jun 2017
Shake-Shake regularization
Xavier Gastaldi
3DPC
BDL
OOD
41
380
0
21 May 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
21
9,497
0
31 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
161
4,656
0
15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
345
5,742
0
05 Dec 2016
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
397
3,123
0
04 Nov 2016
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
47
689
0
10 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
76
3,411
0
07 Oct 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
403
36,530
0
25 Aug 2016
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
79
2,342
0
30 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
196
14,175
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
640
192,387
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
178
27,191
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
193
13,961
0
19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
27
2,319
0
10 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
313
9,221
0
06 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
138
43,110
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
97
149,279
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
93
18,883
0
20 Dec 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
41
14,807
1
21 Dec 2013
1