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Measuring Robustness to Natural Distribution Shifts in Image
  Classification
v1v2 (latest)

Measuring Robustness to Natural Distribution Shifts in Image Classification

1 July 2020
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
    OOD
ArXiv (abs)PDFHTML

Papers citing "Measuring Robustness to Natural Distribution Shifts in Image Classification"

50 / 355 papers shown
Title
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
104
30
0
15 Mar 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLMCLIPVPVLM
163
1,367
0
10 Mar 2022
Do better ImageNet classifiers assess perceptual similarity better?
Do better ImageNet classifiers assess perceptual similarity better?
Manoj Kumar
N. Houlsby
Nal Kalchbrenner
E. D. Cubuk
113
34
0
09 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor
Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
132
54
0
07 Mar 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
132
114
0
02 Mar 2022
Improving generalization with synthetic training data for deep learning
  based quality inspection
Improving generalization with synthetic training data for deep learning based quality inspection
Antoine Cordier
Pierre Gutierrez
Victoire Plessis
105
3
0
25 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
177
690
0
21 Feb 2022
Deep Ensembles Work, But Are They Necessary?
Deep Ensembles Work, But Are They Necessary?
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
R. Zemel
John P. Cunningham
OODUQCV
149
65
0
14 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm
Predicting Out-of-Distribution Error with the Projection Norm
Yaodong Yu
Zitong Yang
Alexander Wei
Yi-An Ma
Jacob Steinhardt
OODD
84
44
0
11 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions
NoisyMix: Boosting Model Robustness to Common Corruptions
N. Benjamin Erichson
Soon Hoe Lim
Winnie Xu
Francisco Utrera
Ziang Cao
Michael W. Mahoney
138
18
0
02 Feb 2022
Certifying Model Accuracy under Distribution Shifts
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
Soheil Feizi
OOD
108
7
0
28 Jan 2022
An Empirical Investigation of Model-to-Model Distribution Shifts in
  Trained Convolutional Filters
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters
Paul Gavrikov
J. Keuper
33
1
0
20 Jan 2022
Parameter-free Online Test-time Adaptation
Parameter-free Online Test-time Adaptation
Malik Boudiaf
Romain Mueller
Ismail Ben Ayed
Luca Bertinetto
TTA
72
153
0
15 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum
  Changes
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu
Chaoning Zhang
Hongyang R. Zhang
AAML
88
21
0
04 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
129
69
0
31 Dec 2021
PRIME: A few primitives can boost robustness to common corruptions
PRIME: A few primitives can boost robustness to common corruptions
Apostolos Modas
Rahul Rade
Guillermo Ortiz-Jiménez
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
93
44
0
27 Dec 2021
Provable Adversarial Robustness in the Quantum Model
Provable Adversarial Robustness in the Quantum Model
Khashayar Barooti
Grzegorz Gluch
R. Urbanke
AAMLOOD
52
1
0
17 Dec 2021
Do You See What I See? Capabilities and Limits of Automated Multimedia
  Content Analysis
Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis
Carey Shenkman
Dhanaraj Thakur
Emma Llansó
46
8
0
15 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
305
139
0
15 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Percy Liang
OOD
76
102
0
09 Dec 2021
A Systematic Review of Robustness in Deep Learning for Computer Vision:
  Mind the gap?
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
60
79
0
01 Dec 2021
Equitable modelling of brain imaging by counterfactual augmentation with
  morphologically constrained 3D deep generative models
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
Guilherme Pombo
Robert J. Gray
M. Jorge Cardoso
Sebastien Ourselin
G. Rees
John Ashburner
P. Nachev
100
29
0
29 Nov 2021
Do Invariances in Deep Neural Networks Align with Human Perception?
Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda
Ayan Majumdar
Camila Kolling
John P. Dickerson
Krishna P. Gummadi
Bradley C. Love
Adrian Weller
AAML
38
5
0
29 Nov 2021
Confounder Identification-free Causal Visual Feature Learning
Confounder Identification-free Causal Visual Feature Learning
Xin Li
Zhizheng Zhang
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Xin Jin
Zhibo Chen
CMLOOD
106
14
0
26 Nov 2021
Combined Scaling for Zero-shot Transfer Learning
Combined Scaling for Zero-shot Transfer Learning
Hieu H. Pham
Zihang Dai
Golnaz Ghiasi
Kenji Kawaguchi
Hanxiao Liu
...
Yi-Ting Chen
Minh-Thang Luong
Yonghui Wu
Mingxing Tan
Quoc V. Le
VLM
145
202
0
19 Nov 2021
Understanding and Testing Generalization of Deep Networks on
  Out-of-Distribution Data
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
Rui Hu
Jitao Sang
Jinqiang Wang
Rui Hu
Chaoquan Jiang
CMLOOD
75
7
0
17 Nov 2021
Benchmarks for Corruption Invariant Person Re-identification
Benchmarks for Corruption Invariant Person Re-identification
Minghui Chen
Zhiqiang Wang
Feng Zheng
85
26
0
01 Nov 2021
Adversarial Robustness with Semi-Infinite Constrained Learning
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
AAMLOOD
187
46
0
29 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
87
71
0
27 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust
  Training
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zhangyang Wang
145
113
0
26 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
329
216
0
21 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLMCLIP
318
104
0
21 Oct 2021
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in
  Convolutional Neural Networks
Exploring Novel Pooling Strategies for Edge Preserved Feature Maps in Convolutional Neural Networks
Adithya Sineesh
Mahesh Raveendranatha Panicker
36
2
0
17 Oct 2021
Reappraising Domain Generalization in Neural Networks
Reappraising Domain Generalization in Neural Networks
S. Sivaprasad
Akshay Goindani
Vaibhav Garg
Ritam Basu
Saiteja Kosgi
Vineet Gandhi
OODAI4CE
103
6
0
15 Oct 2021
Out-of-Distribution Robustness in Deep Learning Compression
Out-of-Distribution Robustness in Deep Learning Compression
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
OODOODD
58
5
0
13 Oct 2021
Benchmarking the Robustness of Spatial-Temporal Models Against
  Corruptions
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Chenyu Yi
Siyuan Yang
Haoliang Li
Yap-Peng Tan
Alex C. Kot
97
33
0
13 Oct 2021
Robustness Evaluation of Transformer-based Form Field Extractors via
  Form Attacks
Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks
Le Xue
M. Gao
Zeyuan Chen
Caiming Xiong
Ran Xu
63
3
0
08 Oct 2021
Exploring the Limits of Large Scale Pre-training
Exploring the Limits of Large Scale Pre-training
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
118
119
0
05 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring
  and Activation Function
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
85
13
0
03 Oct 2021
FathomNet: A global image database for enabling artificial intelligence
  in the ocean
FathomNet: A global image database for enabling artificial intelligence in the ocean
K. Katija
E. Orenstein
B. Schlining
L. Lundsten
K. Barnard
...
O. Boulais
M. Cromwell
Erin R Butler
Benjamin Woodward
K. L. Bell
102
74
0
29 Sep 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift
Training on Test Data with Bayesian Adaptation for Covariate Shift
Aurick Zhou
Sergey Levine
OODTTA
112
13
0
27 Sep 2021
Robust Generalization of Quadratic Neural Networks via Function
  Identification
Robust Generalization of Quadratic Neural Networks via Function Identification
Kan Xu
Hamsa Bastani
Osbert Bastani
OOD
67
8
0
22 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training
  Techniques
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Shiyu Tang
Ruihao Gong
Yan Wang
Aishan Liu
Jiakai Wang
...
Xianglong Liu
Basel Alomair
Alan Yuille
Philip Torr
Dacheng Tao
VLMAAML
118
108
0
11 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
266
742
0
04 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLMCLIPVLM
575
2,450
0
02 Sep 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several
  distribution shifts
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
98
3
0
30 Aug 2021
A comparison of approaches to improve worst-case predictive model
  performance over patient subpopulations
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
84
24
0
27 Aug 2021
StyleAugment: Learning Texture De-biased Representations by Style
  Augmentation without Pre-defined Textures
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures
Sanghyuk Chun
Song Park
62
6
0
24 Aug 2021
Sequential Multivariate Change Detection with Calibrated and Memoryless
  False Detection Rates
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
Oliver Cobb
A. V. Looveren
Janis Klaise
80
6
0
02 Aug 2021
SimROD: A Simple Adaptation Method for Robust Object Detection
SimROD: A Simple Adaptation Method for Robust Object Detection
Rindranirina Ramamonjison
Amin Banitalebi-Dehkordi
Xinyu Kang
Xiaolong Bai
Yong Zhang
ObjDTTA
83
54
0
28 Jul 2021
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