paper that just came out that actually beats to actually use some supervised learning in vision to improve performance of a super purely supervised learning is this one moko and it's using a trick to kind of slow down one of those the main issue here is the difficulty of finding hard- so here you have to mine your entire data set for images that the system thinks are similar to this one but really aren't and that's really where where things become complicated but that idea this paper I just mentioned actually improves