Yehudit Aperstein

Improving Deep Tabular Learning

2025 · arXiv (Cornell University)

Tabular data remain a dominant form of real-world information but pose persistent challenges for deep learning due to heterogeneous feature types, lack of natural structure, and limited label-preserving augmentations. As a result, ensemble models based …