From "Interpretable graph neural networks for tabular data" (2023) https://news.ycombinator.com/item?id=37269881 https://news.ycombinator.com/item?id=37269881 :

From "Interpretable graph neural networks for tabular data" (2023) https://news.ycombinator.com/item?id=37269881 https://news.ycombinator.com/item?id=37269881 : > TabPFN: https://github.com/automl/TabPFN https://github.com/automl/TabPFN .. https://x.com/FrankRHutter/status/1583410845307977733 https://x.com/FrankRHutter/status/1583410845307977733 [2022] "TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second" (2022) https://arxiv.org/abs/2308.08945 https://arxiv.org/abs/2308.08945 > FWIU TabPFN is Bayesian-calibrated/trained with better performance than xgboost for non-categorical data