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We are developing adjustable ML models for better performance and fairness.
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Research
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
March 30, 2025
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
February 25, 2025
Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?
August 29, 2024
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
August 29, 2024