arxiv
PublishedJuly 31, 2026 at 4:00 AM
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Understanding Context Sampling in TabPFN on Small Tabular Datasets
Publisher summary· verbatim
arXiv:2607.26628v1 Announce Type: cross Abstract: TabPFN performs classification through in-context learning: it conditions on a set of labeled training rows (the context, or prototypes) and predicts test labels without gradient updates. On small tabular datasets, practitioners must still choose the
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Originally published on arxiv ↗