Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization

Léo Andeol, Yusei Kawakami, Yuichiro Wada +3

Domain shifts in the training data are common in practical applications of machine learning; they occur for instance when the data is coming from different sources. Ideally, a ML m…