Methods › General › Stochastic Optimization › Deep Ensembles

Deep Ensembles

177 papers tagged archive 2025-07-28

Introduced by Balaji Lakshminarayanan et al. in Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 177, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 154 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Uncertainty Quantification62
Diversity28
Out-of-Distribution Detection22
Image Classification16
Semantic Segmentation16
Deep Learning11
Out of Distribution (OOD) Detection11
Variational Inference11
Bayesian Inference10
Decision Making10
regression10
Segmentation9
image-classification9
Ensemble Learning8
Autonomous Driving7
Active Learning6
Classification6
Data Augmentation6
Image Segmentation5
Time Series5

Usage over time archive 2025-07-28

Papers per year tagged with Deep Ensembles: 2016 to 2025, peak 35 35 0 2016: 1 paper 2016 2017: 1 paper 2017 2018: 2 papers 2018 2019: 3 papers 2019 2020: 22 papers 2020 2021: 34 papers 2021 2022: 31 papers 2022 2023: 33 papers 2023 2024: 35 papers 2024 2025: 15 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (177 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Stochastic Optimization

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