2024
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
ICML 2024oral
We tackle the challenge of predicting models' Out-of-Distribution (OOD) performance using in-distribution (ID) measurements without requiring OOD data. Existing evaluations with ``Effective robustness'', which use ID accuracy as an indicator of OOD accuracy, encounter limitations when models are tra…