Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation

Yuan Shi, Fei Sha

We study the problem of unsupervised domain adaptation, which aims to adapt classifiers trained on a labeled source domain to an unlabeled target domain. Many existing approaches f…