Learning factorized representations for open-set domain adaptation (with Mahsa Baktashmotlagh, Masoud Faraki, and Mathieu Salzmann)

This paper describes how to learn representations that transfer well between domains, while acknowledging that the target domain may have classes of data that are not present in the source domain.

[ICLR 2019 paper]