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WILDS: A Benchmark of in-the-Wild Distribution Shifts

WILDS: A Benchmark of in-the-Wild Distribution Shifts

14 December 2020
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
Akshay Balsubramani
Weihua Hu
Michihiro Yasunaga
Richard Lanas Phillips
Irena Gao
Tony Lee
Etiene David
Ian Stavness
Wei Guo
Berton A. Earnshaw
I. Haque
Sara Beery
J. Leskovec
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
    OOD
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Papers citing "WILDS: A Benchmark of in-the-Wild Distribution Shifts"

50 / 232 papers shown
Title
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Philip Naumann
Jacob R. Kauffmann
G. Montavon
19
0
0
09 May 2025
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
Zixuan Hu
Yichun Hu
Ling-yu Duan
TTA
54
0
0
07 May 2025
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology
Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology
A. H. H. Chan
Otto Brookes
Urs Waldmann
Hemal Naik
I. Couzin
...
Lukas Boesch
M. Arandjelovic
H. Kühl
T. Burghardt
Fumihiro Kano
74
0
0
05 May 2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Praharsh Nanavati
Ranjitha Prasad
Karthikeyan Shanmugam
OOD
CML
57
0
0
29 Apr 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
34
0
0
29 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
W. Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
85
0
0
27 Apr 2025
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
Shahad Albastaki
Anabia Sohail
I. I. Ganapathi
B. Alawode
Asim Khan
Sajid Javed
N. Werghi
Mohammed Bennamoun
Arif Mahmood
66
0
0
26 Apr 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
62
1
0
24 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu
Xiaofei Xie
Q. Hu
Bowen Zhang
Ziming Zhao
Yun Lin
Lei Ma
Ruitao Feng
Frank Liau
41
0
0
12 Apr 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
42
0
0
14 Mar 2025
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
Otto Brookes
Maksim Kukushkin
Majid Mirmehdi
Colleen Stephens
Paula Dieguez
...
Lukas Boesch
Thomas Schmid
M. Arandjelovic
H. Kühl
T. Burghardt
46
0
0
28 Feb 2025
Sebra: Debiasing Through Self-Guided Bias Ranking
Sebra: Debiasing Through Self-Guided Bias Ranking
Adarsh Kappiyath
Abhra Chaudhuri
Ajay Jaiswal
Ziquan Liu
Yunpeng Li
Xiatian Zhu
L. Yin
CML
82
1
1
30 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
42
0
0
12 Jan 2025
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
37
1
0
11 Jan 2025
Zero-shot Shark Tracking and Biometrics from Aerial Imagery
Zero-shot Shark Tracking and Biometrics from Aerial Imagery
Chinmay K Lalgudi
Mark E Leone
Jaden V Clark
Sergio Madrigal-Mora
Mario Espinoza
42
0
0
10 Jan 2025
Differentiable Prompt Learning for Vision Language Models
Zhenhan Huang
Tejaswini Pedapati
Pin-Yu Chen
Jianxi Gao
VLM
21
0
0
03 Jan 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
60
6
0
03 Jan 2025
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Burak Ekim
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Michael Schmitt
Rahul Dodhia
J. L. Ferres
OODD
82
1
0
18 Dec 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification
Tom A. Lamb
Adam Davies
Alasdair Paren
Philip H. S. Torr
Francesco Pinto
45
0
0
30 Oct 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
Zhexuan Liu
Rong Ma
Yiqiao Zhong
55
0
0
22 Oct 2024
QT-DoG: Quantization-aware Training for Domain Generalization
QT-DoG: Quantization-aware Training for Domain Generalization
Saqib Javed
Hieu Le
Mathieu Salzmann
OOD
MQ
26
1
0
08 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
35
1
0
04 Oct 2024
Unsupervised Domain Adaptation Via Data Pruning
Unsupervised Domain Adaptation Via Data Pruning
Andrea Napoli
Paul White
24
1
0
18 Sep 2024
Quantifying the Impact of Population Shift Across Age and Sex for
  Abdominal Organ Segmentation
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
Kate Čevora
Ben Glocker
Wenjia Bai
OOD
26
0
0
08 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
29
27
0
01 Aug 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
19
0
0
21 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
61
0
0
16 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for
  Continual Test-Time Adaptation
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu
Xiaopeng Hong
Zhiheng Ma
Weijun Zhuang
Yaohui Ma
Yong Dai
Yaowei Wang
CLL
TTA
33
2
0
12 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations
Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
35
17
0
01 Jul 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
Dunyuan Xu
Xi Wang
Jingyang Zhang
Pheng-Ann Heng
MedIm
CLL
93
0
0
26 Jun 2024
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving
  Domain Generalization in Histopathology Images
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
Parastoo Sotoudeh Sharifi
M. Omair Ahmad
M. N. S. Swamy
MoMe
OOD
34
0
0
21 Jun 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
28
4
0
16 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
32
0
0
14 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal
  Contrastive Learning
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang
Yifang Chen
Wendan Yan
Alex Fang
Wenjing Zhou
Kevin G. Jamieson
S. Du
32
7
0
29 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
43
3
0
23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing
  Extreme Activations
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
28
1
0
21 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
34
2
0
18 May 2024
Non-stationary Domain Generalization: Theory and Algorithm
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
OOD
38
1
0
10 May 2024
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for
  Continual Learning
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
Prashant Bhat
Bharath Renjith
Elahe Arani
Bahram Zonooz
CLL
40
2
0
28 Apr 2024
Conformal Prediction with Learned Features
Conformal Prediction with Learned Features
Shayan Kiyani
George Pappas
Hamed Hassani
21
8
0
26 Apr 2024
Novel Node Category Detection Under Subpopulation Shift
Novel Node Category Detection Under Subpopulation Shift
Hsing-Huan Chung
Shravan Chaudhari
Yoav Wald
Xing Han
Joydeep Ghosh
29
1
0
01 Apr 2024
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
Justin Kay
T. Haucke
Suzanne Stathatos
Siqi Deng
Erik Young
Pietro Perona
Sara Beery
Grant Van Horn
51
4
0
18 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu
Kaiming He
34
26
0
13 Mar 2024
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Huan Ma
Yan Zhu
Changqing Zhang
Peilin Zhao
Baoyuan Wu
Long-Kai Huang
Qinghua Hu
Bing Wu
VLM
64
1
0
01 Mar 2024
Implicit Bias and Fast Convergence Rates for Self-attention
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva
Puneesh Deora
Christos Thrampoulidis
24
13
0
08 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles
A survey on robustness in trajectory prediction for autonomous vehicles
Jeroen Hagenus
Frederik Baymler Mathiesen
J. Schumann
Arkady Zgonnikov
22
3
0
02 Feb 2024
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Michelle R. Greene
Mariam Josyula
Wentao Si
Jennifer A. Hart
32
0
0
23 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
67
1
0
17 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
22
5
0
09 Jan 2024
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