Gael Varoquaux • 7/19/2024

CARTE: toward table foundation models

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This article discusses the development of CARTE, a foundation model for tabular data. It explores the challenges of applying pre-training techniques to tables, explains CARTE's architecture designed to learn across different tables, details its pretraining on knowledge graphs, and presents empirical results and lessons learned.

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#Relational Databases #tabular data #Deep Learning
CARTE: toward table foundation models

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