Large Scale Transfer Learning for Tabular Data via Language Modeling
Large Scale Transfer Learning for Tabular Data via Language Modeling
Tabular data -- structured, heterogeneous, spreadsheet-style data with rows and columns -- is widely used in practice across many domains. However, while recent foundation models have reduced the need for developing task-specific datasets and predictors in domains such as language modeling and computer vision, this transfer learning paradigm has not …