most citedA Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2024

Does Data-Efficient Generalization Exacerbate Bias in Foundation Models?

Dilermando Queiroz, Anderson Carlos, Maíra Fatoretto +3

Foundation models have emerged as robust models with label efficiency in diverse domains. In medical imaging, these models contribute to the advancement of medical diagnoses due to…