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Slanted Triangular Learning Rates

40 papers tagged archive 2025-07-28

Introduced by Jeremy Howard et al. in Universal Language Model Fine-tuning for Text Classification

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

Slanted Triangular Learning Rates (STLR) is a learning rate schedule which first linearly increases the learning rate and then linearly decays it, which can be seen in Figure to the right. It is a modification of Triangular Learning Rates, with a short increase and a long decay period.

PaperSource

Papers archive 2025-07-28

30 shown of 40, 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 49 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
Transfer Learning14
General Classification13
Language Modelling13
Text Classification13
Language Modeling12
Sentiment Analysis10
text-classification8
Classification7
Decision Making3
Hate Speech Detection3
Sentiment Classification3
BIG-bench Machine Learning2
Language Identification2
Management2
Marketing2
Sentence2
Text Categorization2
Transliteration2
Word Embeddings2
regression2

Usage over time archive 2025-07-28

Papers per year tagged with Slanted Triangular Learning Rates: 2018 to 2025, peak 13 13 0 2018: 1 paper 2018 2019: 13 papers 2019 2020: 12 papers 2020 2021: 8 papers 2021 2022: 1 paper 2022 2023: 2 papers 2023 2024: 2 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (40 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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