Talk
in
Workshop: Table Representation Learning Workshop
Invited talk: Advances in In-Context Learning for Tabular Datasets
Frank Hutter
Abstract:
A year ago, we introduced TabPFN, the first in-context learning method for tabular data. In this talk, I will discuss what happened since. I will start by briefly discussing CAAFE, a system that uses LLMs for automated feature engineering on tabular data and makes effective use of TabPFN's speed. Then, I will situate prior-fitted PFNs in the in-context learning literature, review various applications of PFN, explain TabPFN in some more detail and then discuss our ongoing work on removing TabPFN's remaining limitations.
Chat is not available.