We propose a hypothesis disparity regularized mutual information maximization (HDMI) approach to tackle unsupervised transfer---as an effort towards unifying transfer learning (HTL) and domain adaptation (UDA)---where the knowledge from source is transferred solely through hypotheses adapted target in manner. In contrast prevalent HTL UDA approaches that typically use single hypothesis, HDMI em...