AI RESEARCH
Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift
arXiv CS.AI
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ArXi:2605.05567v1 Announce Type: new Domain adaptation aims to transfer knowledge from a labeled source domain to an unlabeled target domain with different distributions. In real-world scenarios, the label spaces of the two domains often have an inclusion relationship, where some classes exist only in one domain but not the other. These non-overlapping classes are referred to as private classes. Identifying private class samples and mitigating their adverse effects is critical in the literature.