Bac Nguyen*

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning

"Handling distribution shifts from training data, known as out-of-distribution (OOD) generalization, poses a significant challenge in the field of machine learning. While a pre-trained vision-language model like CLIP has demonstrated remarkable zero-shot performance, further adaptation of the model…