Arun S. Suggala

Improving Generalization via Meta-Learning on Hard Samples

Learned reweighting (LRW) approaches to supervised learning use an optimization criterion to assign weights for training instances in order to maximize performance on a representative validation dataset. We pose and formalize the problem of optimized selection of the validation set used in LRW train…