DOC3-Deep One Class Classification using Contradictions [article]

Sauptik Dhar, Bernardo Gonzalez Torres
2022 arXiv   pre-print
This paper introduces the notion of learning from contradictions (a.k.a Universum learning) for deep one class classification problems. We formalize this notion for the widely adopted one class large-margin loss, and propose the Deep One Class Classification using Contradictions (DOC3) algorithm. We show that learning from contradictions incurs lower generalization error by comparing the Empirical Rademacher Complexity (ERC) of DOC3 against its traditional inductive learning counterpart. Our
more » ... irical results demonstrate the efficacy of DOC3 compared to popular baseline algorithms on several real-life data sets.
arXiv:2105.07636v2 fatcat:6bhutr4eqng7lf4oibctloqwui