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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
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
49
71
0
19 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution
  shift
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Ananya Kumar
Tengyu Ma
Percy Liang
Aditi Raghunathan
UQCV
OODD
OOD
37
38
0
18 Jul 2022
Performance degradation of ImageNet trained models by simple image
  transformations
Performance degradation of ImageNet trained models by simple image transformations
Harsh Maheshwari
12
0
0
17 Jul 2022
Progress and limitations of deep networks to recognize objects in
  unusual poses
Progress and limitations of deep networks to recognize objects in unusual poses
Amro Abbas
Stéphane Deny
OOD
AAML
13
17
0
16 Jul 2022
SVGraph: Learning Semantic Graphs from Instructional Videos
SVGraph: Learning Semantic Graphs from Instructional Videos
Madeline Chantry Schiappa
Y. S. Rawat
17
4
0
16 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for
  Representation Learning
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning
Shibani Santurkar
Yann Dubois
Rohan Taori
Percy Liang
Tatsunori Hashimoto
CLIP
VLM
19
41
0
15 Jul 2022
Plex: Towards Reliability using Pretrained Large Model Extensions
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran
J. Liu
Michael W. Dusenberry
Du Phan
Mark Collier
...
D. Sculley
Y. Gal
Zoubin Ghahramani
Jasper Snoek
Balaji Lakshminarayanan
VLM
31
124
0
15 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness
Contrastive Adapters for Foundation Model Group Robustness
Michael Zhang
Christopher Ré
VLM
8
61
0
14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
26
16
0
14 Jul 2022
Convolutional Bypasses Are Better Vision Transformer Adapters
Convolutional Bypasses Are Better Vision Transformer Adapters
Shibo Jie
Zhi-Hong Deng
VPVLM
10
131
0
14 Jul 2022
Domain Alignment Meets Fully Test-Time Adaptation
Domain Alignment Meets Fully Test-Time Adaptation
Kowshik Thopalli
P. Turaga
Jayaraman J. Thiagarajan
OOD
TTA
20
4
0
09 Jul 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil
Brian Bartoldson
James Diffenderfer
B. Kailkhura
P. Bremer
OOD
56
0
0
08 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation
Back to the Source: Diffusion-Driven Test-Time Adaptation
Jin Gao
Jialing Zhang
Xihui Liu
Trevor Darrell
Evan Shelhamer
Dequan Wang
TTA
11
50
0
07 Jul 2022
A simple normalization technique using window statistics to improve the
  out-of-distribution generalization on medical images
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images
Chengfeng Zhou
Songchang Chen
Chenming Xu
Jun Wang
Feng Liu
Chun Zhang
Juan Ye
Hefeng Huang
Dahong Qian
OOD
11
0
0
07 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language
  Perturbations
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Y. S. Rawat
Vibhav Vineet
VLM
120
17
0
05 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Ng
Neha Hulkund
Kyunghyun Cho
Marzyeh Ghassemi
OOD
11
4
0
05 Jul 2022
RepMix: Representation Mixing for Robust Attribution of Synthesized
  Images
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
Tu Bui
Ning Yu
John Collomosse
17
35
0
05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Y. S. Rawat
AAML
24
24
0
04 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
50
11
0
04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
32
41
0
04 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark J. F. Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
22
28
0
30 Jun 2022
Distilling Model Failures as Directions in Latent Space
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
A. Madry
16
89
0
29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Philip H. S. Torr
P. Dokania
UQCV
25
34
0
29 Jun 2022
SImProv: Scalable Image Provenance Framework for Robust Content
  Attribution
SImProv: Scalable Image Provenance Framework for Robust Content Attribution
Alexander Black
Tu Bui
Simon Jenni
Zhifei Zhang
Viswanathan Swaminanthan
John Collomosse
25
0
0
28 Jun 2022
Robustifying Vision Transformer without Retraining from Scratch by
  Test-Time Class-Conditional Feature Alignment
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima
Yutaka Matsuo
Yusuke Iwasawa
47
27
0
28 Jun 2022
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Chuan Wen
Jianing Qian
Jierui Lin
Jiaye Teng
Dinesh Jayaraman
Yang Gao
AAML
10
17
0
22 Jun 2022
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A Survey
Madeline Chantry Schiappa
Y. S. Rawat
M. Shah
SSL
34
131
0
18 Jun 2022
Revisiting Self-Distillation
Revisiting Self-Distillation
M. Pham
Minsu Cho
Ameya Joshi
C. Hegde
10
22
0
17 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
F. I. F. Richard Yu
TTA
36
149
0
16 Jun 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening
Martin Gonzalez
H. Hajri
Loic Cantat
M. Petreczky
27
1
0
16 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OOD
AI4TS
19
2
0
16 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie
Wei Li
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
19
69
0
15 Jun 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
A Simple Data Mixing Prior for Improving Self-Supervised Learning
Sucheng Ren
Huiyu Wang
Zhengqi Gao
Shengfeng He
Alan Yuille
Yuyin Zhou
Cihang Xie
13
35
0
15 Jun 2022
A Meta-Analysis of Distributionally-Robust Models
A Meta-Analysis of Distributionally-Robust Models
Ben Feuer
Ameya Joshi
C. Hegde
OOD
VLM
32
3
0
15 Jun 2022
X-Risk Analysis for AI Research
X-Risk Analysis for AI Research
Dan Hendrycks
Mantas Mazeika
27
67
0
13 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and
  Robustness through Shape-awareness
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness
Shruthi Gowda
Bahram Zonooz
Elahe Arani
24
5
0
12 Jun 2022
Lost in Transmission: On the Impact of Networking Corruptions on Video
  Machine Learning Models
Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models
Trenton Chang
Daniel Y. Fu
18
0
0
10 Jun 2022
Neural Prompt Search
Neural Prompt Search
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
VPVLM
VLM
34
144
0
09 Jun 2022
MobileOne: An Improved One millisecond Mobile Backbone
MobileOne: An Improved One millisecond Mobile Backbone
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
25
154
0
08 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts
Toward Certified Robustness Against Real-World Distribution Shifts
Haoze Wu
Teruhiro Tagomori
Alexander Robey
Fengjun Yang
Nikolai Matni
George Pappas
Hamed Hassani
C. Păsăreanu
Clark W. Barrett
AAML
OOD
35
18
0
08 Jun 2022
Can CNNs Be More Robust Than Transformers?
Can CNNs Be More Robust Than Transformers?
Zeyu Wang
Yutong Bai
Yuyin Zhou
Cihang Xie
UQCV
OOD
22
46
0
07 Jun 2022
Masked Unsupervised Self-training for Label-free Image Classification
Masked Unsupervised Self-training for Label-free Image Classification
Junnan Li
Silvio Savarese
Steven C. H. Hoi
VLM
SSL
10
12
0
07 Jun 2022
Robust Calibration with Multi-domain Temperature Scaling
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu
Stephen Bates
Yi-An Ma
Michael I. Jordan
OOD
UQCV
11
33
0
06 Jun 2022
AugLoss: A Robust Augmentation-based Fine Tuning Methodology
AugLoss: A Robust Augmentation-based Fine Tuning Methodology
Kyle Otstot
J. Cava
Tyler Sypherd
Lalitha Sankar
16
0
0
05 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation
  Learning
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Chenxin Tao
Xizhou Zhu
Weijie Su
Gao Huang
Bin Li
Jie Zhou
Yu Qiao
Xiaogang Wang
Jifeng Dai
SSL
35
94
0
02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
27
37
0
02 Jun 2022
Prefix Conditioning Unifies Language and Label Supervision
Prefix Conditioning Unifies Language and Label Supervision
Kuniaki Saito
Kihyuk Sohn
X. Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
VLM
CLIP
32
16
0
02 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against
  Adversarial Examples
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
34
0
0
02 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Junlin Han
L. Petersson
Hongdong Li
Ian Reid
26
9
0
31 May 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
179
271
0
30 May 2022
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