Papers with JTT

    1 papers
    Outlier-Aware Training for Improving Group Accuracy Disparities (2022.aacl-srw)

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    Challenge: Methods addressing spurious correlations such as Just Train Twice involve reweighting a subset of the training set to maximize the worst-group accuracy.
    Approach: They propose to reweight a subset of a training set to maximize the worst-group accuracy by detecting outliers and removing them before reweighing.
    Outcome: The proposed method achieves competitive or better accuracy compared with JTT and can detect and remove annotation errors in the subset being reweighted in JTT.

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