2021
Meta-Learning Reliable Priors in the Function Space
NeurIPS 2021poster
Meta-Learning promises to enable more data-efficient inference by harnessing previous experience from related learning tasks. While existing meta-learning methods help us to improve the accuracy of our predictions in face of data scarcity, they fail to supply reliable uncertainty estimates, often be…