Gaël Varoquaux (Inria, Probabl): Tabular foundation models for analytics: challenges and progress
Gael Varoquaux
2024 Invited talk
in
Workshop: Table Representation Learning Workshop (TRL)
in
Workshop: Table Representation Learning Workshop (TRL)
Abstract
Deep-learning typically does not outperform tree-based models on tabular data. Often this may be explained by the small size of such datasets. For images, sound, text, the solution has be pretrained models, leading to foundation models, adapted and reused for many tasks. I will discuss the challenges to bring these ideas to tabular learning, and the progress that we have made, leading to the CARTE tabular model.
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