2026
Fine-Tune Once, Reuse Across Models: Bayesian Task-Update Factors and Approximations
ICML 2026poster
As pre-trained models evolve rapidly, transferring fine-tuning knowledge to updated models without retraining has become a critical challenge. Most existing methods reuse parameter updates, yet the same dataset can induce substantially different updates across base models due to mismatched local los…