Methods › General › Semi-Supervised Learning Methods › FixMatch › Papers where code ran, page 1
FixMatch
Papers archive 2025-07-28
archive papers tagged: 85 · with a code link: 44 · where Syntology ran a sample: 19 (15 with a run with no instrument failure, 4 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (19 of 85 tagged: 15 with a run with no instrument failure, 4 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 19 of the 19 tagged papers where Syntology ran at least one harvested sample (15 with a run with no instrument failure, 4 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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RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier 29 Oct 2024 · 1 repository · arXiv:2410.22124Syntology official (archive's flag): 9 ran · 9 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; 3 where Syntology's instrument failed) · 0 unverified (of 9 harvested samples) · 4 pointer-only (licence)
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Unsupervised Domain Adaption Harnessing Vision-Language Pre-training 5 Aug 2024 · 1 repository · arXiv:2408.02192Syntology official (archive's flag): 6 ran · 6 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; 3 where Syntology's instrument failed) · 7 unverified (of 13 harvested samples) · 5 pointer-only (licence)
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Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning 7 Sep 2023 · 1 repository · arXiv:2309.03598Syntology official (archive's flag): 4 ran · 4 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; 3 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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RelationMatch: Matching In-batch Relationships for Semi-supervised Learning 17 May 2023 · 1 repository · arXiv:2305.10397Syntology 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, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data 20 Mar 2023 · 1 repository · arXiv:2303.11066Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 1 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
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Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation 21 Aug 2022 · 1 repository · arXiv:2208.09910Syntology official (archive's flag): 7 ran · 7 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; 3 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples) · 6 pointer-only (licence)
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USB: A Unified Semi-supervised Learning Benchmark for Classification 12 Aug 2022 · 5 repositories · arXiv:2208.07204Syntology community repositories only · 9 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 4 honoured, 0 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified (of 9 harvested samples)
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Class-Aware Contrastive Semi-Supervised Learning 4 Mar 2022 · 1 repository · arXiv:2203.02261Syntology official (archive's flag): 2 ran · 2 ran (of which 1 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) · 3 pointer-only (licence)
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Debiased Learning from Naturally Imbalanced Pseudo-Labels 5 Jan 2022 · 1 repository · arXiv:2201.01490Syntology 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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Semi-Supervised Learning with Taxonomic Labels 23 Nov 2021 · 1 repository · arXiv:2111.11595Syntology 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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FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling 15 Oct 2021 · 2 repositories · arXiv:2110.08263Syntology official (archive's flag): 2 ran · 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
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Unsupervised Selective Labeling for More Effective Semi-Supervised Learning 6 Oct 2021 · 1 repository · arXiv:2110.03006Syntology official (archive's flag): 7 ran · 7 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; 1 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 2 pointer-only (licence)
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OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data 29 Jun 2021 · 1 repository · arXiv:2107.08943Syntology official (archive's flag): 2 ran · 2 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; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Semi-Supervised Domain Generalization with Stochastic StyleMatch 1 Jun 2021 · 2 repositories · arXiv:2106.00592Syntology official (archive's flag): 4 ran · 4 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; 2 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers 28 May 2021 · 1 repository · arXiv:2105.14148Syntology official (archive's flag): 15 ran · 15 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 1 violated, 10 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified (of 19 harvested samples) · 7 pointer-only (licence)
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Adaptive Consistency Regularization for Semi-Supervised Transfer Learning 3 Mar 2021 · 1 repository · arXiv:2103.02193Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training 17 Feb 2021 · 1 repository · arXiv:2102.08622Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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CoMatch: Semi-supervised Learning with Contrastive Graph Regularization 23 Nov 2020 · 3 repositories · arXiv:2011.11183Syntology official (archive's flag): 2 ran · 2 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; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence 21 Jan 2020 · 26 repositories · arXiv:2001.07685Syntology community repositories only · 53 ran (of which 13 constructed an object rather than computing a result; 35 with no instrument failure: 3 honoured, 2 violated, 30 with no contract checked; 18 where Syntology's instrument failed) · 21 unverified (of 74 harvested samples) · 17 pointer-only (licence)