2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
NeurIPS 2021poster
Unpredictable ML model behavior on unseen data, especially in the health domain, raises serious concerns about its safety as repercussions for mistakes can be fatal. In this paper, we explore the feasibility of using state-of-the-art out-of-distribution detectors for reliable and trustworthy diagnos…