Poster
in
Workshop: Human in the Loop Learning (HiLL) Workshop at NeurIPS 2022

Minimizing Annotation Effort via Spectral Sampling

Ariadna Quattoni

Abstract

If one has a budget of N annotations, which samples should be annotated? We pro-pose a sampling strategy based on minimizing redundancy. Our method representsunlabeled data in the form of a Hankel matrix, and uses the notion of spectral max-volume to find a compact informative sub-block from which annotation samplesare drawn.

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