Resnick's and the 50 101 higher capacity resonate variations so we see that the fine-tuned semi-supervised learning framework is always outperforming the fully supervised learning tasks when you just train the student model on imagenet classification then they present this idea of varying the complexity of the teacher model and showing how increasing the capacity of the teacher model increases the accuracy of the student model we see the gains are increasing every time as we scale up the capacity the teacher model while holding the