OOD Aware Supervised Contrastive Learning

Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin +1

Out-of-Distribution (OOD) detection is a crucial problem for the safe deployment of machine learning models identifying samples that fall outside of the training distribution, i.e.…