Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models

Ecem Bozkurt, Antonio Ortega

Foundation models (FMs) pretrained on large datasets have become fundamental for various downstream machine learning tasks, in particular in scenarios where obtaining perfectly lab…