João Sacramento

Learning where to learn: Gradient sparsity in meta and continual learning

2021 · Zurich Open Repository and Archive (University of Zurich)

Finding neural network weights that generalize well from small datasets is difficult. A promising approach is to learn a weight initialization such that a small number of weight changes results in low generalization error. We …