Gian Antariksa

A Survey on Tabular Data: From Tree-based Methods to Tabular Deep Learning

2026 · ACM Computing Surveys

Tabular data remains one of the most challenging modalities for deep learning due to its heterogeneity, lack of spatial or sequential inductive bias, and small-sample regimes. Key complexities include mixed feature types, high-cardinality categoricals, missing …