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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