Methods › General › Learning Rate Schedules › 1cycle

1cycle learning rate scheduling policy

1cycle

13 papers tagged archive 2025-07-28

Introduced by Leslie N. Smith in A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

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

13 shown of 13, 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 43 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
3D Part Segmentation2
Deep Learning2
Object Detection2
object-detection2
3D Instance Segmentation1
3D Object Detection1
3D Semantic Instance Segmentation1
Chatbot1
Data Poisoning1
Decoder1
Generative Adversarial Network1
Image Generation1
Instance Segmentation1
Inverse Rendering1
Language Modeling1
Language Modelling1
Large Language Model1
Learning-To-Rank1
Metric Learning1
Multi-Task Learning1

Usage over time archive 2025-07-28

Papers per year tagged with 1cycle: 2011 to 2023, peak 5 5 0 2011: 1 paper 2011 2012: 0 papers 2012 2013: 0 papers 2013 2014: 0 papers 2014 2015: 0 papers 2015 2016: 0 papers 2016 2017: 2 papers 2017 2018: 2 papers 2018 2019: 1 paper 2019 2020: 0 papers 2020 2021: 5 papers 2021 2022: 0 papers 2022 2023: 2 papers 2023
Papers per year the archive tags with this method, by the paper's archive date (13 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

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