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SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis., , , , and . CoRR, (2023)Explaining medical AI performance disparities across sites with confounder Shapley value analysis., , and . CoRR, (2021)Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning., and . CoRR, (2021)Why adaptively collected data have negative bias and how to correct for it., , , and . CoRR, (2017)MLDemon: Deployment Monitoring for Machine Learning Systems., , and . CoRR, (2021)Disparities in Dermatology AI: Assessments Using Diverse Clinical Images., , , , , , , , , and 7 other author(s). CoRR, (2021)A Spectral Method for Assessing and Combining Multiple Data Visualizations., , and . CoRR, (2022)Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks., , , , , and . CoRR, (2023)How well do LLMs cite relevant medical references? An evaluation framework and analyses., , , , , , , , , and . CoRR, (2024)Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions., , , , , , and . CoRR, (2023)