Author

Hongshan Pu

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Preprint Aug 2026

Joint Distribution Alignment for Universal Domain Adaptation

An upper bound of the generalization error for universal domain adaptation is provided and a novel UniDA algorithm called Joint Distribution Alignment for Universal Domain Adaptation (JAUA), which aligns the joint distributions by minimizing the distribution discrepancy calculated by Chi-Square divergence is proposed.

Shi-Zhe Li, Hongshan Pu, Mengying Xie et al. · 0 citations