interesting the similar paper similar spirits so the key idea in mismatches you take on label data you perform a lot of different augmentations and now you have you run all of these different augmentations to the same classifier and you get the predictions and you average two predictions across these augmentations and you end up with a bunch of class probabilities you can sharpen those class probabilities with soft max temperature controllers and once you get a sharpened distribution you you you you have an idea of what the