04:00
2026-08-05
arxiv.org
machine-learning
NOMADD: Numerical Optimization of Models Adapting to Data Drift
Researchers propose NOMADD, a post-hoc method to reduce concept drift in tabular models, applicable to trees, neural networks, and tabular foundation models. On the 18-dataset Drift-Resilient TabPFN bโฆ