Methods › General › Stochastic Optimization › Deep Ensembles › Papers where code ran, page 1
Deep Ensembles
Papers archive 2025-07-28
archive papers tagged: 177 · with a code link: 81 · where Syntology ran a sample: 28 (21 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (28 of 177 tagged: 21 with a run with no instrument failure, 7 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 28 of the 28 tagged papers where Syntology ran at least one harvested sample (21 with a run with no instrument failure, 7 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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The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE 24 Feb 2025 · 0 repositories · arXiv:2502.17391Syntology 6 ran (of which 3 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples) · 7 pointer-only (licence)
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UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization 3 Feb 2025 · 1 repository · arXiv:2502.01035Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 8 harvested samples)
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The Disparate Benefits of Deep Ensembles 17 Oct 2024 · 1 repository · arXiv:2410.13831Syntology 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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Sensitivity-Aware Amortized Bayesian Inference 17 Oct 2023 · 1 repository · arXiv:2310.11122Syntology 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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MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection 26 Sep 2023 · 1 repository · arXiv:2309.14976Syntology 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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Traversing Between Modes in Function Space for Fast Ensembling 20 Jun 2023 · 1 repository · arXiv:2306.11304Syntology 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) · 0 unverified (of 2 harvested samples)
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Synthetic data, real errors: how (not) to publish and use synthetic data 16 May 2023 · 1 repository · arXiv:2305.09235Syntology official (archive's flag): 14 ran · 14 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 1 violated, 1 with no contract checked; 11 where Syntology's instrument failed) · 8 unverified (of 22 harvested samples) · 22 pointer-only (licence)
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Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts 13 Feb 2023 · 1 repository · arXiv:2302.06495Syntology 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) · 2 unverified (of 8 harvested samples)
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ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference 21 Nov 2022 · 2 repositories · arXiv:2211.11435Syntology official (archive's flag): 2 ran · 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) · 4 unverified (of 6 harvested samples)
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Packed-Ensembles for Efficient Uncertainty Estimation 17 Oct 2022 · 1 repository · arXiv:2210.09184Syntology 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) · 2 unverified (of 3 harvested samples)
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Latent Discriminant deterministic Uncertainty 20 Jul 2022 · 1 repository · arXiv:2207.10130Syntology 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) · 1 pointer-only (licence)
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On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection 15 Jul 2022 · 1 repository · arXiv:2207.07517Syntology official (archive's flag): 8 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) · 1 unverified (of 9 harvested samples) · 2 pointer-only (licence)
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A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness 1 May 2022 · 2 repositories · arXiv:2205.00403Syntology 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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Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations 22 Feb 2022 · 1 repository · arXiv:2202.10951Syntology 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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Deep Ensembles Work, But Are They Necessary? 14 Feb 2022 · 1 repository · arXiv:2202.06985Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 3 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples) · 6 pointer-only (licence)
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Diversity Matters When Learning From Ensembles 27 Oct 2021 · 0 repositories · arXiv:2110.14149Syntology 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)
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Disrupting Deep Uncertainty Estimation Without Harming Accuracy 26 Oct 2021 · 1 repository · arXiv:2110.13741Syntology 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) · 1 unverified (of 2 harvested samples)
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Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity 28 Jun 2021 · 2 repositories · arXiv:2106.14568Syntology 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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Sparse Uncertainty Representation in Deep Learning with Inducing Weights 30 May 2021 · 0 repositories · arXiv:2105.14594Syntology 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) · 4 unverified (of 8 harvested samples)
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What Are Bayesian Neural Network Posteriors Really Like? 29 Apr 2021 · 3 repositories · arXiv:2104.14421Syntology community repositories only · 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) · 3 pointer-only (licence)
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Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification 4 Dec 2020 · 2 repositories · arXiv:2012.02818Syntology 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) · 2 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks 22 Aug 2020 · 1 repository · arXiv:2008.09777Syntology 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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Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness 17 Jun 2020 · 4 repositories · arXiv:2006.10108Syntology official (archive's flag): 1 ran · 2 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; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Neural Ensemble Search for Uncertainty Estimation and Dataset Shift 15 Jun 2020 · 1 repository · arXiv:2006.08573Syntology 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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Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms 22 Apr 2020 · 1 repository · arXiv:2004.10710Syntology 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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Uncertainty Estimation Using a Single Deep Deterministic Neural Network 4 Mar 2020 · 2 repositories · arXiv:2003.02037Syntology 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) · 3 unverified (of 7 harvested samples)
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Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification 17 Oct 2019 · 2 repositories · arXiv:1910.08168Syntology 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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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles 5 Dec 2016 · 26 repositories · arXiv:1612.01474Syntology 10 ran (of which 8 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) · 1 unverified (of 11 harvested samples) · 6 pointer-only (licence)