Preprint
Aug 2026
Tabular foundation models for non-tabular tasks
Tabular foundation models (TFMs) have recently emerged as a promising paradigm for machine learning on tabular data, offering the ability to generalize across datasets without task-specific training. Since many machine learning datasets can be represented as tables, this raises the question: does TFM capability extend...
Goran Nakerst, John Brennan, W. Beugeling et al.
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