Methods › General › Activation Functions › Hermite Activation

Hermite Polynomial Activation

Hermite Activation

introduced 2019 3 papers tagged archive 2025-07-28

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

A Hermite Activations is a type of activation function which uses a smooth finite Hermite polynomial base as a substitute for non-smooth ReLUs.

Relevant Paper: Lokhande et al

Papers archive 2025-07-28

3 shown of 3, 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

9 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
Image Classification2
image-classification2
Language Modelling1
Pseudo Label1
Text Generation1
Time Series1
Time Series Analysis1
Time Series Prediction1
Transductive Learning1

Usage over time archive 2025-07-28

Papers per year tagged with Hermite Activation: 2019 to 2025, peak 2 2 0 2019: 2 papers 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (3 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

Activation Functions

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