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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 / 942 papers shown
Title
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
24
31
0
29 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
44
179
0
28 Mar 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
24
105
0
25 Mar 2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu
M. Varma
Khaled Kamal Saab
Jean-Benoit Delbrouck
Christopher Lee-Messer
Jared A. Dunnmon
James Zou
Christopher Ré
38
143
0
24 Mar 2022
Rich Feature Construction for the Optimization-Generalization Dilemma
Rich Feature Construction for the Optimization-Generalization Dilemma
Jianyu Zhang
David Lopez-Paz
Léon Bottou
21
36
0
24 Mar 2022
Distributionally Robust Optimization via Ball Oracle Acceleration
Distributionally Robust Optimization via Ball Oracle Acceleration
Y. Carmon
Danielle Hausler
18
11
0
24 Mar 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
A Broad Study of Pre-training for Domain Generalization and Adaptation
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
OOD
AI4CE
37
79
0
22 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
26
131
0
21 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
32
29
0
18 Mar 2022
Do Deep Networks Transfer Invariances Across Classes?
Do Deep Networks Transfer Invariances Across Classes?
Allan Zhou
Fahim Tajwar
Alexander Robey
Tom Knowles
George J. Pappas
Hamed Hassani
Chelsea Finn
OOD
37
18
0
18 Mar 2022
Context-Dependent Anomaly Detection with Knowledge Graph Embedding
  Models
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models
Nathan Vaska
Kevin J. Leahy
Victoria Helus
16
1
0
17 Mar 2022
Improved Multi-label Classification under Temporal Concept Drift:
  Rethinking Group-Robust Algorithms in a Label-Wise Setting
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting
Ilias Chalkidis
Anders Søgaard
OOD
AI4TS
14
29
0
15 Mar 2022
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
52
29
0
15 Mar 2022
SuperAnimal pretrained pose estimation models for behavioral analysis
SuperAnimal pretrained pose estimation models for behavioral analysis
Shaokai Ye
Anastasiia Filippova
Jessy Lauer
Steffen Schneider
Maxime Vidal
Tian Qiu
Alexander Mathis
Mackenzie W. Mathis
39
26
0
14 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text
  Processing
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
Ilias Chalkidis
Tommaso Pasini
Shenmin Zhang
Letizia Tomada
Sebastian Felix Schwemer
Anders Søgaard
AILaw
40
54
0
14 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
54
922
1
10 Mar 2022
Domain Generalisation for Object Detection under Covariate and Concept
  Shift
Domain Generalisation for Object Detection under Covariate and Concept Shift
Karthik Seemakurthy
E. Aptoula
Charles Fox
Petra Bosilj
ObjD
OOD
28
10
0
10 Mar 2022
The Impact of Differential Privacy on Group Disparity Mitigation
The Impact of Differential Privacy on Group Disparity Mitigation
Victor Petrén Bach Hansen
A. Neerkaje
Ramit Sawhney
Lucie Flek
Anders Søgaard
48
9
0
05 Mar 2022
Towards IID representation learning and its application on biomedical
  data
Towards IID representation learning and its application on biomedical data
Jiqing Wu
I. Zlobec
Maxime W. Lafarge
Yukun He
V. Koelzer
OOD
CML
25
4
0
01 Mar 2022
Investigating Selective Prediction Approaches Across Several Tasks in
  IID, OOD, and Adversarial Settings
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
Neeraj Varshney
Swaroop Mishra
Chitta Baral
21
55
0
01 Mar 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs
GraphWorld: Fake Graphs Bring Real Insights for GNNs
John Palowitch
Anton Tsitsulin
Brandon Mayer
Bryan Perozzi
GNN
195
68
0
28 Feb 2022
Exploring the Unfairness of DP-SGD Across Settings
Exploring the Unfairness of DP-SGD Across Settings
Frederik Noe
R. Herskind
Anders Søgaard
27
4
0
24 Feb 2022
A New Generation of Perspective API: Efficient Multilingual
  Character-level Transformers
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
Alyssa Lees
Vinh Q. Tran
Yi Tay
Jeffrey Scott Sorensen
Jai Gupta
Donald Metzler
Lucy Vasserman
30
175
0
22 Feb 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep
  learning
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
Nikolaus H. R. Howe
Simon Dufort-Labbé
Nitarshan Rajkumar
Pierre-Luc Bacon
32
5
0
22 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
50
642
0
21 Feb 2022
Understanding Robust Generalization in Learning Regular Languages
Understanding Robust Generalization in Learning Regular Languages
Soham Dan
Osbert Bastani
Dan Roth
OOD
11
4
0
20 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
  Shifts and Training Conflicts
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Weixin Liang
James Zou
OOD
40
82
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 Ma
Jacob Steinhardt
OODD
17
43
0
11 Feb 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
26
85
0
10 Feb 2022
Agree to Disagree: Diversity through Disagreement for Better
  Transferability
Agree to Disagree: Diversity through Disagreement for Better Transferability
Matteo Pagliardini
Martin Jaggi
Franccois Fleuret
Sai Praneeth Karimireddy
20
70
0
09 Feb 2022
The Lifecycle of a Statistical Model: Model Failure Detection,
  Identification, and Refitting
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
Alnur Ali
Maxime Cauchois
John C. Duchi
24
2
0
08 Feb 2022
Robust Hybrid Learning With Expert Augmentation
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel
Jens Behrmann
Hsiang Hsu
Guillermo Sapiro
Gilles Louppe and
J. Jacobsen
26
8
0
08 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
213
64
0
07 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary
  Time-Series
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan Ö. Arik
Nathanael Yoder
Tomas Pfister
TTA
AI4TS
11
20
0
04 Feb 2022
Discovering Distribution Shifts using Latent Space Representations
Discovering Distribution Shifts using Latent Space Representations
Leo Betthauser
Urszula Chajewska
M. Diesendruck
Rohith Pesala
OOD
30
5
0
04 Feb 2022
Source data selection for out-of-domain generalization
Source data selection for out-of-domain generalization
Xinran Miao
Kris Sankaran
OODD
8
0
0
04 Feb 2022
Mapping DNN Embedding Manifolds for Network Generalization Prediction
Mapping DNN Embedding Manifolds for Network Generalization Prediction
Molly O'Brien
Julia V. Bukowski
Mathias Unberath
Aria Pezeshk
Gregory Hager
AI4CE
25
0
0
03 Feb 2022
Certifying Out-of-Domain Generalization for Blackbox Functions
Certifying Out-of-Domain Generalization for Blackbox Functions
Maurice Weber
Linyi Li
Wei Ping
Zhikuan Zhao
Bo-wen Li
Ce Zhang
OOD
29
14
0
03 Feb 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned
  Datasets
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Tal Shnitzer
Mikhail Yurochkin
Kristjan Greenewald
Justin Solomon
41
6
0
03 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in
  real-world medical settings
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff
Natalie Harris
Oluwasanmi Koyejo
Ibrahim M. Alabdulmohsin
Eva Schnider
...
Vivek Natarajan
Alan Karthikesalingam
Katherine A. Heller
Silvia Chiappa
Alexander DÁmour
OOD
55
53
0
02 Feb 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
A. Madry
TDI
47
131
0
01 Feb 2022
On the Limitations of General Purpose Domain Generalisation Methods
On the Limitations of General Purpose Domain Generalisation Methods
Henry Gouk
Ondrej Bohdal
Da Li
Timothy M. Hospedales
23
10
0
01 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang
Haozhe Si
Bo-wen Li
Han Zhao
OOD
60
32
0
30 Jan 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common
  Corruptions
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun
Qingzhao Zhang
B. Kailkhura
Zhiding Yu
Chaowei Xiao
Z. Morley Mao
3DPC
38
84
0
28 Jan 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM
Understanding Why Generalized Reweighting Does Not Improve Over ERM
Runtian Zhai
Chen Dan
Zico Kolter
Pradeep Ravikumar
OOD
44
27
0
28 Jan 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to
  Help System Designers Interrogate Model Capabilities
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Xin Du
Bénédicte Legastelois
B. Ganesh
A. Rajan
Hana Chockler
Vaishak Belle
Stuart Anderson
S. Ramamoorthy
AAML
27
6
0
27 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise
  Annotations
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Lu Zhang
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
69
73
0
24 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
16
1
0
20 Jan 2022
Fantastic Data and How to Query Them
Fantastic Data and How to Query Them
T. Tran
Le-Tuan Anh
M. Duc
Jicheng Yuan
Danh Le-Phuoc
6
4
0
13 Jan 2022
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