Methods › Computer Vision › Convolutions › 1D CNN › Papers where code ran, page 1
1-Dimensional Convolutional Neural Networks
1D CNN
Papers archive 2025-07-28
archive papers tagged: 92 · with a code link: 50 · 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 92 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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Open Deep Search: Democratizing Search with Open-source Reasoning Agents 26 Mar 2025 · 1 repository · arXiv:2503.20201Syntology 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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Deep Isolation Forest for Anomaly Detection 14 Jun 2022 · 2 repositories · arXiv:2206.06602Syntology official (archive's flag): 9 ran · 10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 14 harvested samples)
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Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection 30 Mar 2021 · 1 repository · arXiv:2103.17115Syntology 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) · 0 unverified; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
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Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics 22 May 2020 · 2 repositories · arXiv:2005.11248Syntology 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 12 harvested samples)
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Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised 27 Aug 2018 · 2 repositories · arXiv:1808.08858Syntology official (archive's flag): 2 ran · 6 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; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
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Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention 24 Oct 2017 · 22 repositories · arXiv:1710.08969Syntology 16 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 1 where Syntology's instrument failed) · 12 unverified (of 28 harvested samples) · 1 pointer-only (licence)
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Audio Super Resolution using Neural Networks 2 Aug 2017 · 4 repositories · arXiv:1708.00853Syntology 4 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; 3 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 3 pointer-only (licence)
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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving 22 Dec 2016 · 15 repositories · arXiv:1612.07695Syntology official (archive's flag): 1 ran · 18 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 3 where Syntology's instrument failed) · 24 unverified (of 42 harvested samples) · 1 pointer-only (licence)
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ImageNet Large Scale Visual Recognition Challenge 1 Sep 2014 · 14 repositories · arXiv:1409.0575Syntology 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) · 1 pointer-only (licence)