Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao, Longbing Cao, and Kun-Yu Lin. IEEE Transaction on Pattern Recognition and Machine Intelligence, 2023. The discrepancy between in-distribution (ID) and out-of-distribution (OOD) samples can lead to distributional vulnerability in deep neural networks, which can subsequently lead to high-confidence predictions for OOD samples. This is mainly … Continue reading TPAMI: Non-IID/OOD – Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection