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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

29 June 2020
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
Evan Dorundo
R. Desai
Tyler Lixuan Zhu
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
    OOD
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Papers citing "The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization"

50 / 1,250 papers shown
Title
Understanding Robustness of Transformers for Image Classification
Understanding Robustness of Transformers for Image Classification
Srinadh Bhojanapalli
Ayan Chakrabarti
Daniel Glasner
Daliang Li
Thomas Unterthiner
Andreas Veit
ViT
14
377
0
26 Mar 2021
A Broad Study on the Transferability of Visual Representations with
  Contrastive Learning
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Ashraful Islam
Chun-Fu Chen
Rameswar Panda
Leonid Karlinsky
Richard J. Radke
Rogerio Feris
SSL
10
113
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
24
9
0
23 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network
  Classifiers
Natural Perturbed Training for General Robustness of Neural Network Classifiers
Sadaf Gulshad
A. Smeulders
OOD
AAML
11
2
0
21 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
8
59
0
20 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
32
980
0
03 Mar 2021
On the effectiveness of adversarial training against common corruptions
On the effectiveness of adversarial training against common corruptions
Klim Kireev
Maksym Andriushchenko
Nicolas Flammarion
AAML
11
101
0
03 Mar 2021
Group-wise Inhibition based Feature Regularization for Robust
  Classification
Group-wise Inhibition based Feature Regularization for Robust Classification
Haozhe Liu
Haoqian Wu
Weicheng Xie
Feng Liu
Linlin Shen
OOD
11
16
0
03 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness
Fixing Data Augmentation to Improve Adversarial Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
25
268
0
02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
98
27,569
0
26 Feb 2021
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object
  Detection
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detection
Osama Mazhar
Robert Babuška
Jens Kober
8
7
0
24 Feb 2021
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain
  Use-Case
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
S. Nesteruk
Dmitrii G. Shadrin
M. Pukalchik
10
9
0
24 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
43
129
0
23 Feb 2021
On Interaction Between Augmentations and Corruptions in Natural
  Corruption Robustness
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun
A. Kirillov
Saining Xie
18
88
0
22 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
423
0
17 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,689
0
11 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts
CrossNorm and SelfNorm for Generalization under Distribution Shifts
Zhiqiang Tang
Yunhe Gao
Yi Zhu
Zhi-Li Zhang
Mu Li
Dimitris N. Metaxas
OOD
9
51
0
04 Feb 2021
Random Shadows and Highlights: A new data augmentation method for
  extreme lighting conditions
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions
Osama Mazhar
Jens Kober
AAML
8
5
0
13 Jan 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
146
136
0
13 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
A. Madry
Ashish Kapoor
WIGM
62
59
0
22 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
45
1,372
0
14 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
13
344
0
30 Nov 2020
Improved Handling of Motion Blur in Online Object Detection
Improved Handling of Motion Blur in Online Object Detection
Mohamed Sayed
Gabriel J. Brostow
AAML
11
23
0
29 Nov 2020
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
27
14
0
09 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
48
669
0
06 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
41
8
0
03 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features?
Why Do Better Loss Functions Lead to Less Transferable Features?
Simon Kornblith
Ting-Li Chen
Honglak Lee
Mohammad Norouzi
FaML
22
90
0
30 Oct 2020
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
675
0
19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
19
48
0
19 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CML
OOD
SSL
15
246
0
15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
10
64
0
14 Oct 2020
Deep Ensembles for Low-Data Transfer Learning
Deep Ensembles for Low-Data Transfer Learning
Basil Mustafa
C. Riquelme
J. Puigcerver
andAndré Susano Pinto
Daniel Keysers
N. Houlsby
FedML
OOD
12
22
0
14 Oct 2020
Revisiting Batch Normalization for Improving Corruption Robustness
Revisiting Batch Normalization for Improving Corruption Robustness
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
4
82
0
07 Oct 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
S. Hoi
13
94
0
17 Sep 2020
Estimating the Brittleness of AI: Safety Integrity Levels and the Need
  for Testing Out-Of-Distribution Performance
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance
A. Lohn
11
12
0
02 Sep 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii
Chaim Baskin
A. Bronstein
A. Mendelson
SSL
6
10
0
24 Aug 2020
Towards Improving Selective Prediction Ability of NLP Systems
Towards Improving Selective Prediction Ability of NLP Systems
Neeraj Varshney
Swaroop Mishra
Chitta Baral
6
23
0
21 Aug 2020
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
41
190
0
25 Jul 2020
Robust Image Classification Using A Low-Pass Activation Function and DCT
  Augmentation
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
6
10
0
18 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
8
153
0
16 Jul 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
6
1,108
0
02 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
22
530
0
01 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
20
457
0
30 Jun 2020
A Deep Learning Framework for Recognizing both Static and Dynamic
  Gestures
A Deep Learning Framework for Recognizing both Static and Dynamic Gestures
Osama Mazhar
S. Ramdani
A. Cherubini
15
16
0
11 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Alexander Robey
Hamed Hassani
George J. Pappas
OOD
35
42
0
20 May 2020
Can we have it all? On the Trade-off between Spatial and Adversarial
  Robustness of Neural Networks
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath
Amit Deshpande
Subrahmanyam Kambhampati Venkata
V. Balasubramanian
14
12
0
26 Feb 2020
Training Robust Deep Neural Networks via Adversarial Noise Propagation
Training Robust Deep Neural Networks via Adversarial Noise Propagation
Aishan Liu
Xianglong Liu
Chongzhi Zhang
Hang Yu
Qiang Liu
Dacheng Tao
AAML
11
109
0
19 Sep 2019
Testing Robustness Against Unforeseen Adversaries
Testing Robustness Against Unforeseen Adversaries
Maximilian Kaufmann
Daniel Kang
Yi Sun
Steven Basart
Xuwang Yin
...
Adam Dziedzic
Franziska Boenisch
Tom B. Brown
Jacob Steinhardt
Dan Hendrycks
AAML
9
0
0
21 Aug 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
18
1,416
0
16 Jul 2019
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
273
10,214
0
16 Nov 2016
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