Deep multi-Wasserstein unsupervised domain adaptation

2 code implementations • Pattern Recognition Letters 2019 • Tien-Nam Le, Amaury Habrard, Marc Sebban

In unsupervised domain adaptation (DA), 1 aims at learning from labeled source data and fully unlabeled target examples a model with a low error on the target domain.

Generalization Bounds Unsupervised Domain Adaptation