ReOT uses a theoretically justified locality-aware optimal transport score to identify private classes under extreme label shift and then performs reliable intra-class knowledge transfer while minimizing a generalization bound on target risk.
Multi-source domain adaptation in the deep learning era: A systematic survey
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Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift
ReOT uses a theoretically justified locality-aware optimal transport score to identify private classes under extreme label shift and then performs reliable intra-class knowledge transfer while minimizing a generalization bound on target risk.