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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
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
Fanfei Li
Thomas Klein
Wieland Brendel
Robert Geirhos
Roland S. Zimmermann
OODD
36
0
0
20 Jun 2025
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models
Jenny Schmalfuss
Nadine Chang
Vibashan VS
Maying Shen
Andrés Bruhn
Jose M. Alvarez
VLM
29
0
0
03 Jun 2025
Monitoring Robustness and Individual Fairness
Monitoring Robustness and Individual Fairness
Ashutosh Gupta
T. Henzinger
Konstantin Kueffner
Kaushik Mallik
David Pape
AAML
41
0
0
31 May 2025
$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
AVROBUSTBENCH\texttt{AVROBUSTBENCH}AVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
Sarthak Kumar Maharana
Saksham Singh Kushwaha
Baoming Zhang
Adrian Rodriguez
Songtao Wei
Yapeng Tian
Yunhui Guo
TTAVLM
53
0
0
31 May 2025
Compositional Scene Understanding through Inverse Generative Modeling
Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang
Justin Dauwels
Yilun Du
OCL
86
0
0
27 May 2025
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
Younghyun Kim
Jongheon Jeong
Sangkyung Kwak
Kyungmin Lee
Juho Lee
Jinwoo Shin
65
0
0
19 May 2025
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Shirin Shoushtari
Edward P. Chandler
Yuanhao Wang
M. Salman Asif
Ulugbek S. Kamilov
DiffM
164
0
0
16 May 2025
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
Jenny Schmalfuss
Victor Oei
Lukas Mehl
Madlen Bartsch
Shashank Agnihotri
Margret Keuper
Andrés Bruhn
74
1
0
14 May 2025
NeuRN: Neuro-inspired Domain Generalization for Image Classification
NeuRN: Neuro-inspired Domain Generalization for Image Classification
Hamd Jalil
Ahmed Qazi
Asim Iqbal
OODMedIm
154
0
0
11 May 2025
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
Ahmed Qazi
Hamd Jalil
Asim Iqbal
OOD
148
0
0
11 May 2025
Using Knowledge Graphs to harvest datasets for efficient CLIP model training
Using Knowledge Graphs to harvest datasets for efficient CLIP model training
Simon Ging
Sebastian Walter
Jelena Bratulić
Johannes Dienert
Hannah Bast
Thomas Brox
CLIP
69
0
0
05 May 2025
DataS^3: Dataset Subset Selection for Specialization
DataS^3: Dataset Subset Selection for Specialization
Neha Hulkund
Alaa Maalouf
Levi Cai
Daniel Yang
Tsun-Hsuan Wang
...
Ken Goldberg
Hannah Kerner
Irene Chen
Yogesh A. Girdhar
Sara Beery
77
0
0
22 Apr 2025
Intermediate Layer Classifiers for OOD generalization
Intermediate Layer Classifiers for OOD generalization
Arnas Uselis
Seong Joon Oh
OOD
194
2
0
07 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
211
8
0
31 Mar 2025
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
Xabier de Zuazo
Eva Navas
Ibon Saratxaga
Inma Hernáez Rioja
81
3
0
30 Mar 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
Xiaofeng Mao
YueFeng Chen
Rong Zhang
Hui Xue
Zhao Li
Hang Su
AAMLVLM
81
0
0
21 Mar 2025
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability
Azhar Ali Khaked
Nobuyuki Oishi
Daniel Roggen
Paula Lago
107
0
0
14 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
206
0
0
09 Mar 2025
Statistical Deficiency for Task Inclusion Estimation
Loïc Fosse
Frédéric Béchet
Benoit Favre
Géraldine Damnati
Gwénolé Lecorvé
Maxime Darrin
Philippe Formont
Pablo Piantanida
543
0
0
07 Mar 2025
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness
Nathan G. Drenkow
Mathias Unberath
OOD
119
0
0
04 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
Hyunsu Kim
G. Nam
Chulhee Yun
Hongseok Yang
Juho Lee
BDLUQCV
105
0
0
02 Mar 2025
Robustness and Cybersecurity in the EU Artificial Intelligence Act
Robustness and Cybersecurity in the EU Artificial Intelligence Act
Henrik Nolte
Miriam Rateike
Michèle Finck
108
2
0
22 Feb 2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Behraj Khan
Behroz Mirza
Nouman Durrani
T. Syed
152
0
0
18 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
Luke E. Richards
Jessie Yaros
Jasen Babcock
Coung Ly
Robin Cosbey
Timothy Doster
Cynthia Matuszek
NAI
131
0
0
13 Feb 2025
Privacy-Preserving Dataset Combination
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
120
0
0
09 Feb 2025
Towards Understanding Extrapolation: a Causal Lens
Towards Understanding Extrapolation: a Causal Lens
Lingjing Kong
Guangyi Chen
P. Stojanov
Haoyang Li
Eric P. Xing
Kun Zhang
365
2
0
17 Jan 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
Nishant S. Gaikwad
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Christopher Mutschler
Felix Ott
116
7
0
31 Dec 2024
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
Caixin Kang
Yubo Chen
Shouwei Ruan
Shiji Zhao
Ruochen Zhang
Jiayi Wang
Shan Fu
Xingxing Wei
CVBM
196
0
0
03 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Hao Sun
Ricardo Silva
N. Zhang
155
0
0
29 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
M-U Jang
Hye Won Chung
TTA
563
0
0
20 Nov 2024
Improving self-training under distribution shifts via anchored
  confidence with theoretical guarantees
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo
Diego Klabjan
UQCV
116
0
0
01 Nov 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image
  Classification
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
Benjamin Feuer
Jiawei Xu
Niv Cohen
Patrick Yubeaton
Govind Mittal
Chinmay Hegde
65
3
0
07 Oct 2024
Adjusting Pretrained Backbones for Performativity
Adjusting Pretrained Backbones for Performativity
Berker Demirel
Lingjing Kong
Kun Zhang
Theofanis Karaletsos
Celestine Mendler-Dünner
Francesco Locatello
KELM
69
0
0
06 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP Models
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
76
5
0
02 Oct 2024
Calibrating Language Models with Adaptive Temperature Scaling
Calibrating Language Models with Adaptive Temperature Scaling
Johnathan Xie
Annie S. Chen
Yoonho Lee
Eric Mitchell
Chelsea Finn
70
17
0
29 Sep 2024
CRoP: Context-wise Robust Static Human-Sensing Personalization
CRoP: Context-wise Robust Static Human-Sensing Personalization
Sawinder Kaur
Avery Gump
Yi Xiao
Jingyu Xin
Harshit Sharma
Nina R Benway
Jonathan L Preston
Asif Salekin
181
0
0
26 Sep 2024
Exploring Fine-grained Retail Product Discrimination with Zero-shot
  Object Classification Using Vision-Language Models
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models
Anil Osman Tur
Alessandro Conti
Cigdem Beyan
Davide Boscaini
Roberto Larcher
S. Messelodi
Fabio Poiesi
Elisa Ricci
VLM
110
0
0
23 Sep 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization
Lucas Heublein
Tobias Feigl
Thorsten Nowak
A. Rügamer
Christopher Mutschler
Felix Ott
98
8
0
23 Sep 2024
Simple Unsupervised Knowledge Distillation With Space Similarity
Simple Unsupervised Knowledge Distillation With Space Similarity
Aditya Singh
Haohan Wang
157
2
0
20 Sep 2024
Unsupervised Domain Adaptation Via Data Pruning
Unsupervised Domain Adaptation Via Data Pruning
Andrea Napoli
Paul White
60
1
0
18 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts
Control+Shift: Generating Controllable Distribution Shifts
Roy Friedman
Rhea Chowers
103
0
0
12 Sep 2024
Bootstrap Segmentation Foundation Model under Distribution Shift via
  Object-Centric Learning
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning
Luyao Tang
Yuxuan Yuan
Chen Chen
Kunze Huang
Xinghao Ding
Yue Huang
VLM
82
2
0
29 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
168
5
0
08 Aug 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection
A Survey and Evaluation of Adversarial Attacks for Object Detection
Khoi Nguyen Tiet Nguyen
Wenyu Zhang
Kangkang Lu
Yuhuan Wu
Xingjian Zheng
Hui Li Tan
Liangli Zhen
AAML
84
2
0
04 Aug 2024
Assessing Robustness of Machine Learning Models using Covariate
  Perturbations
Assessing Robustness of Machine Learning Models using Covariate Perturbations
Arun Prakash
A. Bhattacharyya
Eric Heim
Vijayan N. Nair Model
OODAAML
61
1
0
02 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Róisín Luo
James McDermott
C. O'Riordan
AAML
64
1
0
02 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OODTTA
168
7
0
28 Jul 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with
  Class Taxonomies
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
Jia Shi
Gautam Gare
Jinjin Tian
Siqi Chai
Zhiqiu Lin
Arun Vasudevan
Di Feng
Francesco Ferroni
Shu Kong
VLMOODDOOD
100
6
0
22 Jul 2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data
TADA: Temporal Adversarial Data Augmentation for Time Series Data
Byeong Tak Lee
Joon-Myoung Kwon
Yong-Yeon Jo
TTA
79
0
0
21 Jul 2024
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised
  Hyperparameter Selection
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection
Sebastian Cygert
Damian Sójka
Tomasz Trzciñski
Bartlomiej Twardowski
98
0
0
19 Jul 2024
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