Fady Rezk

Model Diffusion for Certifiable Few-shot Transfer Learning

2025 · arXiv (Cornell University)

In contemporary deep learning, a prevalent and effective workflow for solving low-data problems is adapting powerful pre-trained foundation models (FMs) to new tasks via parameter-efficient fine-tuning (PEFT). However, while empirically effective, the resulting solutions lack …