a need for a large model while preventing overfitting at the same time and so they're their answer to that question is to gradually release the training signals of supervisors examples as the model is trained on more and more of the unsupervised examples so I'll show the the equations for for all this okay so here let's see so B here is the batch that is just a renormalization constant and the key is is this part over here so again this is sorry this is the objective function and and so really what they've introduced is