2 papers
cs.CV2022
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
Changwei Xu, Jianfei Yang, Haoran Tang +3
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 t…
cs.LG2020
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training
Jianfei Yang, Han Zou, Yuxun Zhou +1
Domain adaptation tackles the problem of transferring knowledge from a label-rich source domain to a label-scarce or even unlabeled target domain. Recently domain-adversarial train…