ASSET Seminar: “Robust Machine Learning with Foundation Models” (Aditi Raghunathan, Carnegie Mellon University)
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Levine 307
3330 Walnut Street, Philadelphia, PA, United States
ABSTRACT: In recent years, foundation models—large pretrained models that can be adapted for a wide range of tasks—have achieved state-of-the-art performance on a variety of tasks. While the pretrained models are trained on broad data, the adaptation (or fine-tuning) process is often performed on limited data. As a result, the challenges of distribution shift, where […]

