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2112.05090
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Extending the WILDS Benchmark for Unsupervised Adaptation
9 December 2021
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
Kendrick Shen
Ananya Kumar
Weihua Hu
Michihiro Yasunaga
Henrik Marklund
Sara Beery
Etienne David
Ian Stavness
Wei Guo
J. Leskovec
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
Re-assign community
ArXiv (abs)
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HuggingFace (1 upvotes)
Papers citing
"Extending the WILDS Benchmark for Unsupervised Adaptation"
30 / 80 papers shown
In Search for a Generalizable Method for Source Free Domain Adaptation
International Conference on Machine Learning (ICML), 2023
Malik Boudiaf
Tom Denton
B. V. Merrienboer
Vincent Dumoulin
Eleni Triantafillou
TTA
271
22
0
13 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
International Conference on Machine Learning (ICML), 2023
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
380
44
0
06 Feb 2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Neural Information Processing Systems (NeurIPS), 2022
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
294
103
0
25 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
International Conference on Learning Representations (ICLR), 2022
Kefan Dong
Tengyu Ma
OOD
203
22
0
21 Nov 2022
Distributional Shift Adaptation using Domain-Specific Features
Anique Tahir
Lu Cheng
Ruocheng Guo
Huan Liu
VLM
TTA
OOD
OODD
132
2
0
09 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Neural Information Processing Systems (NeurIPS), 2022
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
185
3
0
07 Nov 2022
On Feature Learning in the Presence of Spurious Correlations
Neural Information Processing Systems (NeurIPS), 2022
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
271
168
0
20 Oct 2022
The Value of Out-of-Distribution Data
International Conference on Machine Learning (ICML), 2022
Ashwin De Silva
Rahul Ramesh
Carey E. Priebe
Pratik Chaudhari
Joshua T. Vogelstein
OODD
357
16
0
23 Aug 2022
Domain Adaptation under Open Set Label Shift
Neural Information Processing Systems (NeurIPS), 2022
Saurabh Garg
Sivaraman Balakrishnan
Zachary Chase Lipton
OOD
VLM
268
54
0
26 Jul 2022
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction
Charles Lu
Syed Rakin Ahmed
Praveer Singh
Jayashree Kalpathy-Cramer
OOD
363
5
0
12 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
202
36
0
30 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Neural Information Processing Systems (NeurIPS), 2022
Bang An
Zora Che
Mucong Ding
Furong Huang
241
37
0
26 Jun 2022
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hongzheng Yang
Cheng Chen
Meirui Jiang
Quande Liu
Jianfeng Cao
Pheng Ann Heng
Qi Dou
OOD
180
41
0
27 May 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
Neural Information Processing Systems (NeurIPS), 2022
Emmanuel Abbe
Samy Bengio
Elisabetta Cornacchia
Jon M. Kleinberg
Aryo Lotfi
M. Raghu
Chiyuan Zhang
MLT
239
14
0
26 May 2022
Test-Time Robust Personalization for Federated Learning
International Conference on Learning Representations (ICLR), 2022
Liang Jiang
Tao Lin
FedML
OOD
TTA
352
54
0
22 May 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation
Jing Dong
Shiji Zhou
Baoxiang Wang
Haiying Zhao
OOD
216
9
0
25 Apr 2022
Can domain adaptation make object recognition work for everyone?
Viraj Prabhu
Ramprasaath R. Selvaraju
Judy Hoffman
Nikhil Naik
OOD
155
8
0
23 Apr 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
International Conference on Machine Learning (ICML), 2022
Haoxiang Wang
Yue Liu
Han Zhao
OOD
CLL
221
46
0
18 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
International Conference on Learning Representations (ICLR), 2022
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
420
420
0
06 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Neural Information Processing Systems (NeurIPS), 2022
Jeff Z. HaoChen
Colin Wei
Ananya Kumar
Tengyu Ma
265
46
0
06 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
International Conference on Machine Learning (ICML), 2022
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Abigail Z. Jacobs
SSL
251
94
0
01 Apr 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
European Conference on Computer Vision (ECCV), 2022
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
OOD
AI4CE
331
91
0
22 Mar 2022
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
281
40
0
18 Mar 2022
Agree to Disagree: Diversity through Disagreement for Better Transferability
International Conference on Learning Representations (ICLR), 2022
Matteo Pagliardini
Martin Jaggi
Franccois Fleuret
Sai Praneeth Karimireddy
300
85
0
09 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
468
73
0
07 Feb 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM
International Conference on Learning Representations (ICLR), 2022
Runtian Zhai
Chen Dan
Zico Kolter
Pradeep Ravikumar
OOD
492
33
0
28 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
Yuanfeng Ji
Jun Liu
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
274
86
0
24 Jan 2022
Variational Disentanglement for Domain Generalization
Yufei Wang
Haoliang Li
Hao Cheng
Bihan Wen
Lap-Pui Chau
Alex C. Kot
OOD
DRL
289
34
0
13 Sep 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
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1.2K
4,680
0
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TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Transactions of the Association for Computational Linguistics (TACL), 2020
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
565
689
0
10 Mar 2020
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