2026
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
ICML 2026poster
Pretraining and fine-tuning are central stages in modern machine learning systems. In practice, feature learning plays an important role across both stages: deep neural networks learn a broad range of useful features during pretraining and further refine those features during fine-tuning. However, a…