the space that actually shows to work better with respect to constructing these automated data augmentation pipelines and the next sort of algorithm to be looking at as well and comparing this with is self-rated with noisy student which is this really popular way of doing knowledge isolation which is where you take the pseudo labels you apply a lot of noise with respect to training the student model on that teacher target distribution which is the whole idea of meta studio labels is looking at the ways to structure this