Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
This paper discusses unsupervised domain adaptation (UDA) with target shift, i.e., UDA with the non-identical label distributions of the source and target domains. In practice, this is an important problem; as we do not know labels in target domain datasets, we do not know whether or not its distrib…