Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation

ArXi:2605.25119v1 Announce Type: cross Domain adaptation aims to mitigate performance degradation caused by distribution shifts between a labeled source domain and an unlabeled or sparsely labeled target domain. Most existing approaches estimate domain discrepancy either in feature space or in prediction space. However, these single-perspective strategies overlook a critical problem under domain shift: the reliability of the signals used for alignment.