Foundation Models for Tables

TabPFN and TabICL

A Deep Dive into Tabular Foundation Models

Table of Contents

1. Key Use Cases
2. Paradigm Shift
3. TabPFN Architecture
4. TabICL: Enhanced In-Context Learning
5. TabImpute
6. Foundational Models Applied
7. Fine-tuning Foundation Models
8. Performance Benchmarks
9. Recent Developments
10. Appendix

Thank You!

Questions?

Resources:
TabPFN Paper: arXiv:2207.01848
GitHub: github.com/automl/TabPFN