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2204.11531
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VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
25 April 2022
Minghui Chen
Cheng Wen
Feng Zheng
Fengxiang He
Ling Shao
OODD
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Papers citing
"VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization"
42 / 42 papers shown
Title
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,149
0
01 Mar 2022
Recent advances in deep learning theory
Fengxiang He
Dacheng Tao
AI4CE
79
51
0
20 Dec 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OOD
AAML
103
169
0
15 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Christoph Kamann
Burkhard Güssefeld
Robin Hutmacher
J. H. Metzen
Carsten Rother
35
18
0
12 Oct 2020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
99
482
0
30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
350
1,751
0
29 Jun 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
56
404
0
26 Feb 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
125
1,305
0
05 Dec 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
99
449
0
17 Jul 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Raphael Gontijo-Lopes
Dong Yin
Ben Poole
Justin Gilmer
E. D. Cubuk
AAML
142
205
0
06 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
622
4,798
0
13 May 2019
Making Convolutional Networks Shift-Invariant Again
Richard Y. Zhang
OOD
93
798
0
25 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
191
3,452
0
28 Mar 2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
G. Ding
Luyu Wang
Xiaomeng Jin
68
183
0
20 Feb 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Nic Ford
Justin Gilmer
Nicholas Carlini
E. D. Cubuk
AAML
104
320
0
29 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
146
2,559
0
24 Jan 2019
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
121
2,673
0
29 Nov 2018
Generalisation in humans and deep neural networks
Robert Geirhos
Carlos R. Medina Temme
Jonas Rauber
Heiko H. Schutt
Matthias Bethge
Felix Wichmann
OOD
107
609
0
27 Aug 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
FedML
ELM
171
414
0
01 Jun 2018
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
80
561
0
30 May 2018
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
108
193
0
16 Mar 2018
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
126
1,355
0
30 Nov 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
282
9,803
0
25 Oct 2017
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen
Yash Sharma
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
66
641
0
13 Sep 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
124
3,773
0
15 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
315
12,131
0
19 Jun 2017
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
Samuel F. Dodge
Lina Karam
3DH
73
423
0
06 May 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,560
0
31 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
331
19,690
0
21 Nov 2016
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic
Ayan Chakrabarti
Gregory Shakhnarovich
64
198
0
17 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,347
0
16 Nov 2016
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
333
4,577
0
13 Nov 2016
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
472
3,148
0
04 Nov 2016
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
148
2,533
0
26 Oct 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
775
36,881
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
266
8,579
0
16 Aug 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
351
7,995
0
23 May 2016
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.9K
77,341
0
18 May 2015
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
251
4,681
0
21 Dec 2014
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
282
19,107
0
20 Dec 2014
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
113
540
0
29 May 2013
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