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Modern machine learning (ML) models are becoming increasingly popular and are widely used in decision-making systems.
Regularized learning for domain adaptation under label shifts
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Tzeng, E., Hoffman, J., Saenko, K., and Darrell, T. (2017) · 2017
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Fairness in deep learning: A computational perspective
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Measuring and mitigating unintended bias in text classification
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A survey on datasets for fairness-aware machine learning
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