2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback
AISTATS 2024poster
Robustness to out-of-distribution (OOD) samples is crucial for the safe deployment of machine learning models in the open world. Recent works have focused on designing scoring functions to quantify OOD uncertainty. Setting appropriate thresholds for these scoring functions for OOD detection is chall…