arXiv Preprint
|
2020

Train and You’ll Miss It: Interactive Model Iteration With Weak Supervision…

M. Chen, et al, 2020

Abstract

This paper provides a series of results studying how performance scales with changes in source coverage, source accuracy, and the Lipschitzness of label distributions in the embedding space, and compare this rate to standard weak supervision.

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