On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
–Neural Information Processing Systems
Estimating the generalization performance is practically challenging on out-of-distribution (OOD) data without ground-truth labels.
Neural Information Processing Systems
Feb-12-2026, 02:53:25 GMT