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Jerkmate
https://openreview.net/forum?id=BtEiqKsIMw
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data |...
Foundation models for tabular data, like TabPFN, achieve strong performance on small datasets when pre-trained solely on synthetic data. We show that this...
tabular foundation modelspre trainingworld datarealimproving
https://towardsdatascience.com/one-model-to-rule-them-all-sap-rpt-1-and-the-future-of-tabular-foundation-models/
One Model to Rule Them All? SAP-RPT-1 and the Future of Tabular Foundation Models | Towards Data...
A hands-on case study and practical guidance
tabular foundation modelstowards dataonerulesap
https://openreview.net/forum?id=EfQv02muYG
Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models | OpenReview
Fine-tuning tabular foundation models (TFMs) in the face of scarce data is challenging, as early stopping on even scarcer validation data often fails to...
tabular foundation modelsdata augmentationfine tuningcausalrobust
https://openreview.net/forum?id=jdM9Pa8she
Generalization Can Emerge in Tabular Foundation Models From a Single Table | OpenReview
Deep tabular modelling increasingly relies on in-context learning where, during inference, a model receives a set of $(x,y)$ pairs as context and predicts...
tabular foundation modelssingle tablegeneralizationemergeopenreview
https://openreview.net/forum?id=h8hy1lABh3
Towards Synthetic Data for Fine-tuning Tabular Foundation Models | OpenReview
Tabular foundation models pre-trained on synthetically generated datasets have exhibited strong in-context learning capabilities. While fine-tuning can further...
tabular foundation modelssynthetic datafine tuningtowardsopenreview