Methods › General › Attention Mechanisms › Set Transformer › Papers where code ran, page 1
Set Transformer
Papers archive 2025-07-28
archive papers tagged: 20 · with a code link: 14 · where Syntology ran a sample: 6 (6 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 (6 of 20 tagged: 6 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 6 of the 6 tagged papers where Syntology ran at least one harvested sample (6 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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Graph as Point Set 5 May 2024 · 1 repository · arXiv:2405.02795Syntology official (archive's flag): 20 ran · 20 ran (of which 15 constructed an object rather than computing a result; 16 with no instrument failure: 1 honoured, 0 violated, 15 with no contract checked; 4 where Syntology's instrument failed) · 7 unverified (of 27 harvested samples) · 27 pointer-only (licence)
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Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets 23 Jun 2022 · 1 repository · arXiv:2206.11925Syntology official (archive's flag): 1 ran · 1 ran (of which 0 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) · 1 unverified (of 2 harvested samples)
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Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds 19 Mar 2022 · 1 repository · arXiv:2203.10314Syntology 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) · 2 unverified (of 6 harvested samples)
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SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data 29 Mar 2021 · 2 repositories · arXiv:2103.15619Syntology official (archive's flag): 17 ran · 17 ran (of which 7 constructed an object rather than computing a result; 9 with no instrument failure: 2 honoured, 0 violated, 7 with no contract checked; 8 where Syntology's instrument failed) · 10 unverified (of 27 harvested samples)
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Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction 19 Feb 2021 · 2 repositories · arXiv:2104.00563Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified (of 17 harvested samples) · 2 pointer-only (licence)
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Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks 1 Oct 2018 · 9 repositories · arXiv:1810.00825Syntology official (archive's flag): 3 ran · 8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 3 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples) · 4 pointer-only (licence)