BriefGPT.xyz
Oct, 2020
具有鲁棒性的最优输运及其在生成建模和域自适应中的应用
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
HTML
PDF
Yogesh Balaji, Rama Chellappa, Soheil Feizi
TL;DR
本文提出了一种鲁棒性的 Optimal Transport(OT)形式,以解决数据中异常值的问题,并应用于深度学习中的 GAN 和领域适应问题,同时在实验中证明了该方法的有效性。
Abstract
optimal transport
(OT) distances such as Wasserstein have been used in several areas such as
gans
and
domain adaptation
. OT, however, is v
→