noise contrastive estimation I think is just where you as we said you input an image and then it's kind of noisy versions with augmented in various ways and then you classify them together and this has been like this these methods have been very successful in the last few years yeah so this they they have various investigations into their algorithm I want to point out this here this is the accuracy vs. confidence after the complete clustering step so this is now the third step is self labeling and you can see right here as