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Classifiers are biased when trained on biased datasets.
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Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
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Environment inference for invariant learning
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Debiasing pre-trained contextualised embeddings
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Discover the unknown biased attribute of an image classifier
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Learning from others’ mistakes: Avoiding dataset biases without modeling them
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Anatomizing bias in facial analysis
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Multi-institutional validation of a mammography-based breast cancer risk model
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