Methods › General › Large Batch Optimization › LARS › Papers where code ran, page 1
LARS
Papers archive 2025-07-28
archive papers tagged: 77 · with a code link: 34 · where Syntology ran a sample: 16 (14 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 (16 of 77 tagged: 14 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 16 of the 16 tagged papers where Syntology ran at least one harvested sample (14 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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SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning 24 Jan 2024 · 1 repository · arXiv:2401.13246Syntology official (archive's flag): 12 ran · 13 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified (of 16 harvested samples) · 2 pointer-only (licence)
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SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA 10 Oct 2023 · 1 repository · arXiv:2310.06675Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 10 unverified (of 16 harvested samples)
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The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning 20 Jul 2023 · 1 repository · arXiv:2307.10907Syntology 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 learning made simple with self-supervised clustering 13 Jun 2023 · 1 repository · arXiv:2306.07483Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 3 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism 4 Mar 2023 · 1 repository · arXiv:2303.02387Syntology 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)
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Effective Self-supervised Pre-training on Low-compute Networks without Distillation 6 Oct 2022 · 1 repository · arXiv:2210.02808Syntology 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) · 3 unverified (of 9 harvested samples) · 3 pointer-only (licence)
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StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis 19 Jun 2022 · 2 repositories · arXiv:2206.09479Syntology official (archive's flag): 1 ran · 8 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; 2 where Syntology's instrument failed) · 3 unverified (of 11 harvested samples) · 2 pointer-only (licence)
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Unsupervised Salient Object Detection with Spectral Cluster Voting 23 Mar 2022 · 1 repository · arXiv:2203.12614Syntology official (archive's flag): 5 ran · 5 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; 3 where Syntology's instrument failed) · 4 unverified (of 9 harvested samples) · 4 pointer-only (licence)
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SurvTRACE: Transformers for Survival Analysis with Competing Events 2 Oct 2021 · 1 repository · arXiv:2110.00855Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples) · 2 pointer-only (licence)
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PASS: An ImageNet replacement for self-supervised pretraining without humans 27 Sep 2021 · 1 repository · arXiv:2109.13228Syntology official: no sample here; runs from other or unrecorded repositories · 11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 14 harvested samples) · 9 pointer-only (licence)
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Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples 28 Apr 2021 · 4 repositories · arXiv:2104.13963Syntology official (archive's flag): 2 ran · 19 ran (of which 4 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 0 violated, 16 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 21 harvested samples) · 3 pointer-only (licence)
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Unsupervised Learning of Visual Features by Contrasting Cluster Assignments 17 Jun 2020 · 18 repositories · arXiv:2006.09882Syntology community repositories only · 13 ran (of which 4 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 1 violated, 4 with no contract checked; 7 where Syntology's instrument failed) · 4 unverified (of 17 harvested samples) · 6 pointer-only (licence)
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Supervised Contrastive Learning 23 Apr 2020 · 26 repositories · arXiv:2004.11362Syntology community repositories only · 17 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 2 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 6 unverified (of 23 harvested samples) · 5 pointer-only (licence)
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A Simple Framework for Contrastive Learning of Visual Representations 13 Feb 2020 · 96 repositories · arXiv:2002.05709Syntology official (archive's flag): 2 ran · 115 ran (of which 33 constructed an object rather than computing a result; 90 with no instrument failure: 1 honoured, 1 violated, 88 with no contract checked; 25 where Syntology's instrument failed) · 22 unverified (of 137 harvested samples) · 52 pointer-only (licence)
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Large Batch Optimization for Deep Learning: Training BERT in 76 minutes 1 Apr 2019 · 32 repositories · arXiv:1904.00962Syntology community repositories only · 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) · 5 unverified (of 11 harvested samples) · 9 pointer-only (licence)
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Large Batch Training of Convolutional Networks 13 Aug 2017 · 12 repositories · arXiv:1708.03888Syntology 4 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; 0 where Syntology's instrument failed) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result (of 5 harvested samples) · 1 pointer-only (licence)