kneeling that effectively prevents overfitting when you have much more unsupervised data than supervised data and they they achieve performance improvements on multiple text and vision benchmarks and then they also introduce a method to even the prediction distributions over across classes for unlabeled and labeled data semi-supervised learning I hope people online know what this is I probably won't explain it again so we'll get into smoothness in forcing okay so this is one approach to semi-supervised learning