Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network

1 code implementation • 8 Jul 2020 • Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo

This paper presents a meta-learning framework for few-shots One-Class Classification (OCC) at test-time, a setting where labeled examples are only available for the positive class, and no supervision is given for the negative example.

Astronomy General Classification +3