2019
On Target Shift in Adversarial Domain Adaptation
AISTATS 2019poster
Discrepancy between training and testing domains is a fundamental problem in the generalization of machine learning techniques. Recently, several approaches have been proposed to learn domain invariant feature representations through adversarial deep learning. However, label shift, where the percen…