it's not true right now so this is an old paper but the main reason for going through that is to introduce all these different techniques like the PI Maru and virtually I was still training and temporal on something in the mean teacher so the agenda for the less rest of the lecture is to cover three very recent papers and some surprise learning that actually have taken some space learning to a whole new level unsupervised the augmentation makes match and noisy student so before that let's actually take a break