On Learning Invariant Representation for Domain Adaptation
arXiv: Learning, 2019.
Due to the ability of deep neural nets to learn rich representations, recent advances in unsupervised domain adaptation have focused on learning domain-invariant features that achieve a small error on the source domain. The hope is that the learnt representation, together with the hypothesis learnt from the source domain, can generalize t...More
PPT (Upload PPT)