Continuing the pre-training of TabPFN on 71 curated real-world tables raises its average normalized ROC-AUC from 0.954 to 0.976 on 29 AutoML Benchmark datasets.
Web data commons - web table corpus 2015 / english-language relational subset,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
Continuing the pre-training of TabPFN on 71 curated real-world tables raises its average normalized ROC-AUC from 0.954 to 0.976 on 29 AutoML Benchmark datasets.