Scaling Experiments in Self-Supervised Cross-Table Representation Learning

Maximilian Schambach, Dominique Paul, Johannes S. Otterbach

To analyze the scaling potential of deep tabular representation learning models, we introduce a novel Transformer-based architecture specifically tailored to tabular data and cross…