Methods › General › Self-Supervised Learning › Barlow Twins › Papers where code ran, page 1
Barlow Twins
Papers archive 2025-07-28
archive papers tagged: 71 · with a code link: 39 · where Syntology ran a sample: 7 (5 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 (7 of 71 tagged: 5 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 7 of the 7 tagged papers where Syntology ran at least one harvested sample (5 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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Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering 21 Dec 2023 · 1 repository · arXiv:2312.14066Syntology 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, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 9 harvested samples) · 9 pointer-only (licence)
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RedMotion: Motion Prediction via Redundancy Reduction 19 Jun 2023 · 3 repositories · arXiv:2306.10840Syntology 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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Matrix Information Theory for Self-Supervised Learning 27 May 2023 · 3 repositories · arXiv:2305.17326Syntology official (archive's flag): 3 ran · 5 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; 4 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration 27 Jan 2023 · 1 repository · arXiv:2301.11517Syntology official (archive's flag): 4 ran · 4 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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Audio Barlow Twins: Self-Supervised Audio Representation Learning 28 Sep 2022 · 1 repository · arXiv:2209.14345Syntology 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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Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective 14 Jun 2021 · 1 repository · arXiv:2106.07115Syntology 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) · 1 unverified (of 3 harvested samples)
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Barlow Twins: Self-Supervised Learning via Redundancy Reduction 4 Mar 2021 · 24 repositories · arXiv:2103.03230Syntology official (archive's flag): 1 ran · 21 ran (of which 6 constructed an object rather than computing a result; 15 with no instrument failure: 2 honoured, 1 violated, 12 with no contract checked; 6 where Syntology's instrument failed) · 5 unverified (of 26 harvested samples) · 10 pointer-only (licence)