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Out-of-Distribution Generalization via Risk Extrapolation (REx)

ICML 2021 · Label-efficient and robust learning › Test-time adaptation · approach: Robust optimization for distribution shift · 251 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use V-REx instead of ERMColored MNIST · Colored MNISTtest accuracy: 17.1 ± 0.6 -> 68.7 ± 0.9Helped
Use V-REx instead of IRMColored MNIST · Colored MNISTtest accuracy: 66.9 ± 2.5 -> 68.7 ± 0.9Helped
Use V-REx instead of MM-RExColored MNIST · Colored MNISTtest accuracy: 66.1 ± 1.5 -> 68.7 ± 0.9Mixed
Add V-REx risk-variance regularizationdomain generalization models · Class, digit, and color imbalance CMNIST variantsaccuracyHelped
Add V-REx risk-variance regularizationdomain generalization models · ColoredMNIST, VLCS, PACS, and OfficeHomeaccuracyNo clear effect
Use REx in heteroskedastic tasks with differing intrinsic noisedomain generalization models · Toy structural equation modelsperformanceHurt

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