Adversarial Reweighting for Partial Domain Adaptation Supplementary Material

The comparisons of the typical PDA methods are given in Table S-1. Mean Discrepancy (MMD) and the Jensen-Shannon (JS) divergence. ImageNet-Caltech, and VisDA-2017 are shown in Table S-4. This section illustrates the details for computing the Wasserstein distance discussed in Sect. With Eq. (S-7), the Wasserstein distance can be approximated by W (µ, ν) E Algorithm 1 presents the pseudo-code of our training algorithm in Sect.