2022
Learning To Learn by Jointly Optimizing Neural Architecture and Weights
CVPR 2022poster
Meta-learning enables models to adapt to new environments rapidly with a few training examples. Current gradient-based meta-learning methods concentrate on finding good initialization (meta-weights) for learners but ignore the impact of neural architectures. In this paper, we aim to obtain better me…