VLDB
|
2022

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming

C. Hsieh, et al

Abstract

This paper presents Nemo, an interactive system that improves the overall productivity of Weak Supervision learning pipelines by an average of 20%, compared to the prevailing WS approach.

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