2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
NeurIPS 2024poster
Improving out-of-distribution (OOD) generalization during in-distribution (ID) adaptation is a primary goal of robust fine-tuning of zero-shot models beyond naive fine-tuning. However, despite decent OOD generalization performance from recent robust fine-tuning methods, confidence calibration for re…