Methods › General › Deep Tabular Learning › TABPFN › Papers where code ran, page 1
tabular data Prior-data Fitted Network
TABPFN
Papers archive 2025-07-28
archive papers tagged: 26 · with a code link: 12 · where Syntology ran a sample: 9 (9 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (9 of 26 tagged: 9 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 9 of the 9 tagged papers where Syntology ran at least one harvested sample (9 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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ConTextTab: A Semantics-Aware Tabular In-Context Learner 12 Jun 2025 · 1 repository · arXiv:2506.10707Syntology official (archive's flag): 1 ran · 3 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples)
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The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features 6 Jan 2025 · 1 repository · arXiv:2501.02945Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Large Scale Transfer Learning for Tabular Data via Language Modeling 17 Jun 2024 · 2 repositories · arXiv:2406.12031Syntology official (archive's flag): 13 ran · 13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 15 harvested samples)
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Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers 22 May 2024 · 1 repository · arXiv:2405.13396Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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Interpretable Machine Learning for TabPFN 16 Mar 2024 · 1 repository · arXiv:2403.10923Syntology official (archive's flag): 12 ran · 12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 12 harvested samples) · 1 pointer-only (licence)
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TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks 17 Feb 2024 · 2 repositories · arXiv:2402.11137Syntology official (archive's flag): 12 ran · 12 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified (of 17 harvested samples)
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Is Mamba Capable of In-Context Learning? 5 Feb 2024 · 1 repository · arXiv:2402.03170Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 8 pointer-only (licence)
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MotherNet: Fast Training and Inference via Hyper-Network Transformers 14 Dec 2023 · 1 repository · arXiv:2312.08598Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second 5 Jul 2022 · 7 repositories · arXiv:2207.01848Syntology 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 1 pointer-only (licence)