A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection
arXiv:2605.10181v1 Announce Type: cross
Abstract: Out-of-distribution (OOD) detection is essential for building reliable AI systems, as models that produce outputs for invalid inputs cannot be trusted. Although deep learning (DL) is often assumed to o…