Robuta

Sponsor of the Day: 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