SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection

Jingyang Zhang, Nathan Inkawhich, Randolph Linderman +3

Building up reliable Out-of-Distribution (OOD) detectors is challenging, often requiring the use of OOD data during training. In this work, we develop a data-driven approach which…