Methods › General › AutoML › HPO › Papers where code ran, page 1
Hyper-parameter optimization
HPO
Papers archive 2025-07-28
archive papers tagged: 154 · with a code link: 67 · where Syntology ran a sample: 18 (15 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (18 of 154 tagged: 15 with a run with no instrument failure, 3 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 18 of the 18 tagged papers where Syntology ran at least one harvested sample (15 with a run with no instrument failure, 3 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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A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data 2 Jul 2024 · 1 repository · arXiv:2407.02112Syntology official (archive's flag): 3 ran · 3 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; 0 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples)
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Improving Hyperparameter Optimization with Checkpointed Model Weights 26 Jun 2024 · 1 repository · arXiv:2406.18630Syntology 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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In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization 25 Apr 2024 · 2 repositories · arXiv:2404.16795Syntology official: no sample here; runs from other or unrecorded repositories · 3 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; 1 where Syntology's instrument failed) · 8 unverified (of 11 harvested samples)
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Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It 23 Apr 2024 · 0 repositories · arXiv:2404.15084Syntology 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) · 5 unverified (of 9 harvested samples)
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BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model 4 Apr 2024 · 1 repository · arXiv:2404.03830Syntology 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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Using Large Language Models for Hyperparameter Optimization 7 Dec 2023 · 1 repository · arXiv:2312.04528Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 1 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning 21 Jun 2023 · 2 repositories · arXiv:2306.12370Syntology official (archive's flag): 15 ran · 17 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 18 harvested samples)
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Hyperparameters in Reinforcement Learning and How To Tune Them 2 Jun 2023 · 1 repository · arXiv:2306.01324Syntology 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, 1 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Efficient Training Under Limited Resources 23 Jan 2023 · 1 repository · arXiv:2301.09264Syntology 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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PASHA: Efficient HPO and NAS with Progressive Resource Allocation 14 Jul 2022 · 1 repository · arXiv:2207.06940Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified (of 8 harvested samples)
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Towards Robust and Automatic Hyper-Parameter Tunning 28 Nov 2021 · 1 repository · arXiv:2111.14056Syntology 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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HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO 14 Sep 2021 · 2 repositories · arXiv:2109.06716Syntology official (archive's flag): 4 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
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An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models 17 Jun 2021 · 1 repository · arXiv:2106.09204Syntology official (archive's flag): 1 ran · 1 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; 0 where Syntology's instrument failed) · 3 unverified (of 4 harvested samples) · 2 pointer-only (licence)
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DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization 20 May 2021 · 2 repositories · arXiv:2105.09821Syntology official (archive's flag): 1 ran · 1 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; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization 3 May 2021 · 1 repository · arXiv:2105.01015Syntology 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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Automatic Termination for Hyperparameter Optimization 16 Apr 2021 · 1 repository · arXiv:2104.08166Syntology 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, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
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Hyperparameter Transfer Across Developer Adjustments 25 Oct 2020 · 1 repository · arXiv:2010.13117Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples)
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Sample-Efficient Automated Deep Reinforcement Learning 3 Sep 2020 · 1 repository · arXiv:2009.01555Syntology 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, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)