Make the U in UDA matter: Invariant consistency learning for unsupervised domain adaptation

• Main Authors: YUE, Zhongqi, SUN, Qianru, ZHANG, Hanwang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8474; https://ink.library.smu.edu.sg/context/sis_research/article/9477/viewcontent/Make_the_U_in_UDA_Matter__Invariant_Consistency_Learning_for_Unsupervised_Domain_Adaptation__1_.pdf
• Institution: Singapore Management University

Domain Adaptation (DA) is always challenged by the spurious correlation between domain-invariant features (e.g., class identity) and domain-specific features (e.g., environment) that do not generalize to the target domain. Unfortunately, even enriched with additional unsupervised target domains, exi...