text:   optimizers",2,"['Learned optimizers with less mind numbing pain! We analyze, and propose a solution to, pathologies in meta-training via unrolled optimization. Then we meta-train an optimizer targeting CNN training that outperforms SGD/Adam by 5x (!!!) wall clock time. <LINK> <LINK>', 'Interestingly, we can also meta-train an optimizer to target *validation* rather than train loss, in which case we achieve better validation loss than first order methods. Work with @Luke_Metz @niru_m @JvNixon Daniel Freeman.']",18,10,492