the ablations so how does this work it works pretty well and so one of their experiments as you see up here it works pretty well in that if you have 1% of the labels only 1% of imagenet labels which they say is smaller or equal than 13 images per class so there's a thousand classes and you only have 13 labels per class or less if you and they differentiate if your encoder that you train is a resonate 50 then you get and you can see the dashed line here is a supervised baseline you almost get to the supervised baseline with one percent