Model Fooling Rate

metric ID: modelfoolingrate

Related Papers

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn Dynamic Adversarial Data Collection (DADC), human annotators are tasked with finding examples that models struggle to predict correctly. Models trained on DADC-collected training data have been shown to be …...

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