Resampling the clean data subset not only allows the model to learn information carried by all unlabeled samples but also reduces the boundary for vicinal risk minimization (as shown in Theorem 8 of [42], Section 5.4 of [8]), thereby enhancing the accuracy and robustness of semi-supervised ...