Learning Tensor Representations for Meta-Learning. (arXiv:2201.07348v1 [cs.LG])

We introduce a tensor-based model of shared representation for meta-learning
from a diverse set of tasks. Prior works on learning linear representations for
meta-learning assume that there is a common shared representation across
different tasks, and do not consider the additional task-specific observable
side information. In this work, we model the meta-parameter through an
order-$3$ tensor, which can adapt to the observed task features of the task. We
propose two methods to estimate the underlying tensor. The first method solves …

arxiv learning meta meta-learning