Dataset Groups Activity Stream Safe Self-Refinement for Transformer-based Domain Adaptation Unsupervised Domain Adaptation (UDA) aims to leverage a label-rich source domain to solve tasks on a related unlabeled target domain. BibTex: @dataset{Tao_Sun_and_Cheng_Lu_and_Tianshuo_Zhang_and_Haibin_Ling_2024, abstract = {Unsupervised Domain Adaptation (UDA) aims to leverage a label-rich source domain to solve tasks on a related unlabeled target domain.}, author = {Tao Sun and Cheng Lu and Tianshuo Zhang and Haibin Ling}, doi = {10.57702/7q9zupyw}, institution = {No Organization}, keyword = {'domain adaptation', 'transformer', 'unsupervised learning'}, month = {dec}, publisher = {TIB}, title = {Safe Self-Refinement for Transformer-based Domain Adaptation}, url = {https://service.tib.eu/ldmservice/dataset/safe-self-refinement-for-transformer-based-domain-adaptation}, year = {2024} }
