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2012.07421
Cited By
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
Effective pruning of web-scale datasets based on complexity of concept clusters
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Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization
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Generalizable Sleep Staging via Multi-Level Domain Alignment
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Better, Not Just More: Data-Centric Machine Learning for Earth Observation
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08 Dec 2023
Describing Differences in Image Sets with Natural Language
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RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection
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Zero-Shot Robustification of Zero-Shot Models
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Test-Time Poisoning Attacks Against Test-Time Adaptation Models
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Reflections from the Workshop on AI-Assisted Decision Making for Conservation
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An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
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Benchmarking Algorithms for Federated Domain Generalization
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Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
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Ruqi Bai
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Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
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Rectifying Group Irregularities in Explanations for Distribution Shift
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Differentially Private Synthetic Data via Foundation Model APIs 1: Images
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Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
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Are Data-driven Explanations Robust against Out-of-distribution Data?
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28
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Anomaly Detection under Distribution Shift
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Domain adaptation using optimal transport for invariant learning using histopathology datasets
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