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cs.LG2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar +2
Models trained via empirical risk minimization (ERM) are known to rely on spurious correlations between labels and task-independent input features, resulting in poor generalization…
cs.CL2022★ 2 cited
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu, Matt Gardner, Pontus Stenetorp +1
Natural language processing models often exploit spurious correlations between task-independent features and labels in datasets to perform well only within the distributions they a…