Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning

Jens Müller, Lars Kühmichel, Martin Rohbeck +2

In this work, we analyze the conditions under which information about the context of an input $X$ can improve the predictions of deep learning models in new domains. Following work…