Accurate predictions on small data with a tabular foundation model | Nature
Tabular Prior-data Fitted Network, a tabular foundation model, provides accurate predictions on small data and outperforms all previous methods on datasets with up to 10,000 samples by a wide margin.
Main Throughout the history of artificial intelligence, manually created algorithmic components have been replaced with better-performing end-to-end learned ones. Hand-designed features in computer vision, such as SIFT (Scale Invariant Feature Transform)10 and HOG (Histogram of Oriented Gradients)11, have been replaced by learned convolutions; grammar-based approaches in natural language processing have been replaced by learned transformers12; and the design of customized opening and end-game libraries in game playing has been superseded by end-to-end learned strategies3,13. Here we extend…
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