Generalizing to unseen domains via distribution matching

Isabela Albuquerque, João Monteiro, Mohammad Darvishi +2

Supervised learning results typically rely on assumptions of i.i.d. data. Unfortunately, those assumptions are commonly violated in practice. In this work, we tackle such problem b…