Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace

This work demonstrates that the dimension of this learned subspace reflects the complexity of the task-specific learner's adaptation task, and also that the model is less sensitive to the choice of initial learning rates than previous gradient-based meta-learning methods.