ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

In three linesADAPTOOD is a framework for adapting ECG time series models to distribution shifts. It uses data uncertainty to quantify shift severity and guides fine-tuning with low-rank updates and adaptive hyperparameter optimization. Results: +7% accuracy and +12.9% precision on OOD tasks.

Summary generated by Claude — human-verified