Methods › General › Learning Rate Schedules › Cyclical Learning Rate Policy
Cyclical Learning Rate Policy
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Cyclical Learning Rate Policy combines a linear learning rate decay with warm restarts.
Image: ESPNetv2
Papers archive 2025-07-28
5 shown of 5, 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.
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Semantic sentence similarity: size does not always matter 16 Jun 2021 · 1 repository · arXiv:2106.08648
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Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks 23 Apr 2020 · 1 repository · arXiv:2004.11676
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Applying Cyclical Learning Rate to Neural Machine Translation 6 Apr 2020 · 0 repositories · arXiv:2004.02401
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Language learning using Speech to Image retrieval 9 Sep 2019 · 1 repository · arXiv:1909.03795
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ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network 28 Nov 2018 · 10 repositories · arXiv:1811.11431Syntology ran 2 of 4 samples · 2 unverified
Tasks archive 2025-07-28
20 shown of 30 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
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
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