Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection

Ningkang Peng, JiuTao Zhou, Yuhao Zhang +6

Out-of-distribution (OOD) detection is a critical task for the safe deployment of machine learning models in the real world. Existing prototype-based representation learning method…