LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data

Chuanxing Geng, Qifei Li, Xinrui Wang +3

Using unlabeled wild data containing both in-distribution (ID) and out-of-distribution (OOD) data to improve the safety and reliability of models has recently received increasing a…