Hong Chang*

An Information Theoretical View for Out-Of-Distribution Detection

"Detecting out-of-distribution (OOD) inputs are pivotal for real-world applications. However, due to the inaccessibility of OODs during training phase, applying supervised binary classification with in-distribution (ID) and OOD labels is not feasible. Therefore, previous works typically employ the p…