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cs.LG2022★ 1 cited
Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Simon Guiroy, Christopher Pal, Gonçalo Mordido +1
Meta-Learning algorithms for few-shot learning aim to train neural networks capable of generalizing to novel tasks using only a few examples. Early-stopping is critical for perform…
cs.LG2021
Learning to Guide and to Be Guided in the Architect-Builder Problem
Paul Barde, Tristan Karch, Derek Nowrouzezahrai +3
We are interested in interactive agents that learn to coordinate, namely, a -- which performs actions but ignores the goal of the task, i.e. has no access to rewards -- a…