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Feedback Coding for Active Learning

Published in arXiv (Cornell University) • Feb 28, 2021
NobleIDNI2P49W42R02S34
Authors:
Gregory Canal
,
Matthieu R. Bloch
,
Christopher J. Rozell

Abstract

The iterative selection of examples for labeling in active machine learning is conceptually similar to feedback channel coding in information theory: in both tasks, the objective is to seek a minimal sequence of actions to encode information in the presence of noise. While this high-level overlap ha...

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