Uncertainty-Aware Meta-Learning for Multimodal Task Distributions

1 code implementation • 4 Oct 2022 • Cesar Almecija, Apoorva Sharma, Navid Azizan

In this work, we present UnLiMiTD (uncertainty-aware meta-learning for multimodal task distributions), a novel method for meta-learning that (1) makes probabilistic predictions on in-distribution tasks efficiently, (2) is capable of detecting OoD context data at test time, and (3) performs on heterogeneous, multimodal task distributions.

Bayesian Inference Few-Shot Learning