ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning

Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

Abstract: Optimization-based meta-learning typically assumes tasks are sampled from a single distribution - an assumption that oversimplifies and limits the diversity of tasks that meta-learning can model. H...