NeurIPS
|
2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels

Abstract

AutoWS-Bench-101 is a framework for evaluating automated weak supervision techniques compared to other baseline methods such as zero-shot foundation models and supervised learning, in order to help practitioners choose the best method to generate additional labels.

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