Out of Distribution

Deployed machine learning systems require some mechanism to detect out-of-distribution (OOD) inputs. Existing research mainly focuses …

Handling out-of-distribution (OOD) samples has become a major stake in the real-world deploy- ment of machine learning systems. This …

Empirical risk minimization (ERM) is sensitive to spurious correlations present in training data, which poses a significant risk when …