Zhenhua Guo

Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate

2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In this work, we propose an adversarial unsupervised domain adaptation (UDA) method under inherent conditional and label shifts, in which we aim to align the distributions w.r.t. both p(x|y) and p(y). Since labels are inaccessible …