Methods › General › Stochastic Optimization › Stochastic Weight Averaging › Papers where code ran, page 1
Stochastic Weight Averaging
Papers archive 2025-07-28
archive papers tagged: 45 · with a code link: 21 · where Syntology ran a sample: 10 (8 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 (10 of 45 tagged: 8 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 10 of the 10 tagged papers where Syntology ran at least one harvested sample (8 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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Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations 28 May 2024 · 4 repositories · arXiv:2405.18392Syntology official (archive's flag): 6 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) · 3 unverified (of 13 harvested samples) · 4 pointer-only (licence)
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Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models 6 May 2024 · 1 repository · arXiv:2405.03425Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples) · 1 pointer-only (licence)
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Post-Hoc Reversal: Are We Selecting Models Prematurely? 11 Apr 2024 · 1 repository · arXiv:2404.07815Syntology 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) · 1 pointer-only (licence)
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Decoupled Training for Long-Tailed Classification With Stochastic Representations 19 Apr 2023 · 0 repositories · arXiv:2304.09426Syntology 10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified (of 14 harvested samples) · 2 pointer-only (licence)
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Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks 18 Jul 2022 · 1 repository · arXiv:2207.08435Syntology 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) · 3 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Trainable Weight Averaging: A General Approach for Subspace Training 26 May 2022 · 1 repository · arXiv:2205.13104Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 5 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples)
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Improving Generalization in Federated Learning by Seeking Flat Minima 22 Mar 2022 · 1 repository · arXiv:2203.11834Syntology 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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SWAD: Domain Generalization by Seeking Flat Minima 17 Feb 2021 · 4 repositories · arXiv:2102.08604Syntology official (archive's flag): 2 ran · 2 ran (of which 2 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; every one of the 2 samples that ran constructed an object rather than computing a result (of 3 harvested samples)
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A Simple Baseline for Bayesian Uncertainty in Deep Learning 7 Feb 2019 · 8 repositories · arXiv:1902.02476Syntology official (archive's flag): 8 ran · 11 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; 1 where Syntology's instrument failed) · 6 unverified (of 17 harvested samples) · 9 pointer-only (licence)
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Averaging Weights Leads to Wider Optima and Better Generalization 14 Mar 2018 · 17 repositories · arXiv:1803.05407Syntology official (archive's flag): 2 ran · 7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples) · 4 pointer-only (licence)