Pivot Features

Representation learning is the dominant tech- nique for unsupervised domain adaptation, but existing approaches have two major weak- nesses. First, they often require the spec- ification of “pivot features” that …...

AbstractUnsupervised domain adaptation (UDA) is the task of training a statistical model on labeled data from a source domain to achieve better performance on data from a target domain, with …...