Methods › General › Deep Tabular Learning › NON › Papers where code ran, page 1
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NON
Papers archive 2025-07-28
archive papers tagged: 389 · with a code link: 79 · where Syntology ran a sample: 9 (7 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (9 of 389 tagged: 7 with a run with no instrument failure, 2 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 (7 with a run with no instrument failure, 2 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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Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data 12 Mar 2024 · 1 repository · arXiv:2403.07797Syntology official (archive's flag): 12 ran · 12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 12 harvested samples) · 12 pointer-only (licence)
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Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds 11 Mar 2024 · 1 repository · arXiv:2403.06560Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation 21 Dec 2023 · 1 repository · arXiv:2312.14124Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning 28 Sep 2023 · 2 repositories · arXiv:2309.16286Syntology official (archive's flag): 8 ran · 8 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; 2 where Syntology's instrument failed) · 0 unverified (of 8 harvested samples) · 8 pointer-only (licence)
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How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation 18 Feb 2023 · 1 repository · arXiv:2302.09210Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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PromptBERT: Improving BERT Sentence Embeddings with Prompts 12 Jan 2022 · 1 repository · arXiv:2201.04337Syntology official (archive's flag): 1 ran · 1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified; the one sample that ran constructed an object rather than computing a result (of 5 harvested samples) · 5 pointer-only (licence)
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Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better 18 Dec 2021 · 1 repository · arXiv:2112.09824Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues 28 Jul 2021 · 1 repository · arXiv:2107.13576Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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On Anytime Learning at Macroscale 17 Jun 2021 · 1 repository · arXiv:2106.09563Syntology official (archive's flag): 4 ran · 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) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)