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Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation

arXiv:2610.15613v1 Announce Type: new Abstract: Effective unsupervised domain adaptation (UDA) requires a representation that captures transferable structure from both the labeled source domain and the unlabeled target domain. We introduce Joint Contrastive-Adversarial Representation Learning (JCAR…

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  1. 2026-10-14 04:00 · arXiv stat.ML
    Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation

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