04:00
2026-08-03
machinebrief.com
machine-learning
Curriculum Matters: Data-Efficient Relational PFN Pretraining with Synthetic Data
A new arXiv preprint (2607.29120v1) finds that curriculum design and synthetic data diversity matter more for relational Prior-Data Fitted Networks (PFNs) than the specific generator or scale. Using tโฆ