Methods › Natural Language Processing › Transformers › Sparse Transformer › Papers where code ran, page 1
Sparse Transformer
Papers archive 2025-07-28
archive papers tagged: 47 · with a code link: 32 · where Syntology ran a sample: 13 (8 with a run with no instrument failure, 5 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (13 of 47 tagged: 8 with a run with no instrument failure, 5 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 13 of the 13 tagged papers where Syntology ran at least one harvested sample (8 with a run with no instrument failure, 5 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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DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale 2 Feb 2025 · 1 repository · arXiv:2502.01681Syntology official (archive's flag): 1 ran · 1 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; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget 22 Jul 2024 · 1 repository · arXiv:2407.15811Syntology 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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Scene Adaptive Sparse Transformer for Event-based Object Detection 2 Apr 2024 · 1 repository · arXiv:2404.01882Syntology official (archive's flag): 19 ran · 19 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 0 violated, 19 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 23 harvested samples)
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From Sparse to Soft Mixtures of Experts 2 Aug 2023 · 5 repositories · arXiv:2308.00951Syntology official (archive's flag): 3 ran · 29 ran (of which 5 constructed an object rather than computing a result; 18 with no instrument failure: 3 honoured, 4 violated, 11 with no contract checked; 11 where Syntology's instrument failed) · 4 unverified (of 33 harvested samples) · 8 pointer-only (licence)
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LongCoder: A Long-Range Pre-trained Language Model for Code Completion 26 Jun 2023 · 1 repository · arXiv:2306.14893Syntology official (archive's flag): 1 ran · 1 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; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Learning A Sparse Transformer Network for Effective Image Deraining 21 Mar 2023 · 1 repository · arXiv:2303.11950Syntology official (archive's flag): 8 ran · 8 ran (of which 8 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified; every one of the 8 samples that ran constructed an object rather than computing a result (of 11 harvested samples) · 11 pointer-only (licence)
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DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation 13 Jul 2022 · 1 repository · arXiv:2207.06124Syntology official (archive's flag): 5 ran · 5 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples)
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SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning 11 Jul 2022 · 2 repositories · arXiv:2207.04606Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 2 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
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Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction 9 Mar 2022 · 1 repository · arXiv:2203.04845Syntology official (archive's flag): 13 ran · 13 ran (of which 8 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (of 16 harvested samples)
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Flow-Guided Sparse Transformer for Video Deblurring 6 Jan 2022 · 1 repository · arXiv:2201.01893Syntology official (archive's flag): 1 ran · 1 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; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection 25 Dec 2019 · 2 repositories · arXiv:1912.11637Syntology official: no sample here; runs from other or unrecorded repositories · 3 ran (of which 1 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Adaptively Sparse Transformers 30 Aug 2019 · 3 repositories · arXiv:1909.00015Syntology official (archive's flag): 2 ran · 3 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; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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Generating Long Sequences with Sparse Transformers 23 Apr 2019 · 7 repositories · arXiv:1904.10509Syntology community repositories only · 5 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples)