Methods › Computer Vision › Image Model Blocks › Ghost Bottleneck › Papers where code ran, page 1
Ghost Bottleneck
Papers archive 2025-07-28
archive papers tagged: 24 · with a code link: 17 · where Syntology ran a sample: 5 (4 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (5 of 24 tagged: 4 with a run with no instrument failure, 1 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 5 of the 5 tagged papers where Syntology ran at least one harvested sample (4 with a run with no instrument failure, 1 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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GhostNetV2: Enhance Cheap Operation with Long-Range Attention 23 Nov 2022 · 12 repositories · arXiv:2211.12905Syntology 8 ran (of which 7 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 10 harvested samples) · 10 pointer-only (licence)
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RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization 11 Nov 2022 · 3 repositories · arXiv:2211.06088Syntology official (archive's flag): 10 ran · 10 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; 0 where Syntology's instrument failed) · 7 unverified (of 17 harvested samples)
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Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification 2 Apr 2022 · 1 repository · arXiv:2204.00943Syntology 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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Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet 28 Jan 2021 · 13 repositories · arXiv:2101.11986Syntology official (archive's flag): 4 ran · 21 ran (of which 16 constructed an object rather than computing a result; 21 with no instrument failure: 1 honoured, 0 violated, 20 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 26 harvested samples) · 8 pointer-only (licence)
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GhostNet: More Features from Cheap Operations 27 Nov 2019 · 33 repositories · arXiv:1911.11907Syntology community repositories only · 19 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 2 honoured, 0 violated, 14 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified (of 23 harvested samples) · 5 pointer-only (licence)