Methods › General › Learning Rate Schedules › Step Decay

Step Decay

73 papers tagged archive 2025-07-28

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

Step Decay is a learning rate schedule that drops the learning rate by a factor every few epochs, where the number of epochs is a hyperparameter.

Image Credit: Suki Lau

Papers archive 2025-07-28

30 shown of 73, 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 84 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
Object Detection39
Image Classification38
object-detection23
General Classification17
Object16
image-classification15
Semantic Segmentation11
Classification8
Object Recognition6
Real-Time Object Detection6
Instance Segmentation5
Domain Generalization4
Neural Architecture Search4
Data Augmentation3
GPU3
Medical Image Classification3
Person Re-Identification3
Segmentation3
Stochastic Optimization3
Decoder2

Usage over time archive 2025-07-28

Papers per year tagged with Step Decay: 2012 to 2025, peak 27 27 0 2012: 1 paper 2012 2013: 2 papers 2013 2014: 3 papers 2014 2015: 3 papers 2015 2016: 9 papers 2016 2017: 6 papers 2017 2018: 11 papers 2018 2019: 27 papers 2019 2020: 3 papers 2020 2021: 3 papers 2021 2022: 1 paper 2022 2023: 2 papers 2023 2024: 1 paper 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (73 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

Learning Rate Schedules

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections