Tritraining (Zhu, 2006) uses 3 classifiers to vote their classification results and labels them if all the classifiers agree with the prediction.
after the early-stopping in meta-epoch, we simply add all the unlabeled data with its pseudo-labels to training set, which finally brings significant performance gain.