Eunbi Woo
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View article: Classification Accuracy Estimation Without Labels via Architecture-Agnostic Model Agreement
Classification Accuracy Estimation Without Labels via Architecture-Agnostic Model Agreement Open
We propose a method to estimate the classification accuracy of a machine learning model without requiring any ground-truth labels, by leveraging the agreement between two models on unlabeled data. Unlike prior work that interprets model ag…