Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation

Jianing Zhu, Geng Yu, Jiangchao Yao +4

Out-of-distribution (OOD) detection is important for deploying reliable machine learning models on real-world applications. Recent advances in outlier exposure have shown promising…