Zhipeng Zou

Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection

Out-of-distribution (OOD) detection aims to identify the test examples that do not belong to the distribution of training data. The distance-based methods, which identify OOD examples based on their distances from the centroids of in-distribution (ID) examples, have demonstrated promising OOD detect…