Tianshuo Zhang

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation

2022 · arXiv (Cornell University)

Unsupervised Domain Adaptation (UDA), a branch of transfer learning where labels for target samples are unavailable, has been widely researched and developed in recent years with the help of adversarially trained models. Although existing UDA …