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hi there today well look at big self supervised models are strong semi-supervised learners by ting chen simon Kornbluth kevin sworsky muhammad nur Uzi and Geoffrey Hinton of Google brain so this paper on a high level its also known as Sinclair v2 demonstrates that if you want to do semi-supervised learning that youre very well served by starting out with self supervised learning and then doing fine-tuning much like NLP models do rather than the kind of semi-supervised approach that image image tasks had so far and they present this same clear v2 which is an improvement over the same clear approach to self supervised pre training and they demonstrate it outperforms a lot of the baselines alright so if you like content like this dont forget to share it out and leave a like and tell me what you think in the comments so this paper um it sort of is kind of a club together thing of different of different things so they present this new method like simply same clear v2 which is a modific