Structuring Relations Among Learning Paradigms via Protocol--Objective--Resource Reductions
This work introduces a protocol-objective-resource (POR) framework that provides a unified language for structuring learning paradigms and transferring complexity guarantees across them and derives a non-exact episode-to-example reduction for episodic meta-learning.
Junwei Su, Chang-Jie Wang, Dong-Yang Chang
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