04:00
2026-08-14
machinebrief.com
machine-learning
Balanced Adaptive Prototype Selection for Scalable TabPFN Inference on Large-Scale Tabular Data
Researchers introduced Balanced Adaptive Prototype Selection (BAPS), a framework that compresses contexts for TabPFN inference on large-scale tabular data without retraining. Experiments on the millio…