24 citations · 34 across the 9 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 24 cited
Learning where to learn: Gradient sparsity in meta and continual learning
Johannes von Oswald, Dominic Zhao, Seijin Kobayashi +4
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 ch…
cs.LG2021★ 3 cited
A contrastive rule for meta-learning
Nicolas Zucchet, Simon Schug, Johannes von Oswald +2
Humans and other animals are capable of improving their learning performance as they solve related tasks from a given problem domain, to the point of being able to learn from extre…