Methods › General › Activation Functions › Softsign Activation

Softsign Activation

12 papers tagged archive 2025-07-28

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

Softsign is an activation function for neural networks:

f(x) = (x/(|x|+1))

Image Source: Sefik Ilkin Serengil

See Code · pytorch/pytorch

Papers archive 2025-07-28

12 shown of 12, 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

13 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
Speech Synthesis4
Text to Speech4
text-to-speech4
Domain Adaptation2
Unsupervised Domain Adaptation2
GPR1
GPU1
Image Classification1
Melody Extraction1
Retrieval1
Text-To-Speech Synthesis1
image-classification1
point cloud upsampling1

Usage over time archive 2025-07-28

Papers per year tagged with Softsign Activation: 2017 to 2023, peak 4 4 0 2017: 1 paper 2017 2018: 1 paper 2018 2019: 3 papers 2019 2020: 4 papers 2020 2021: 1 paper 2021 2022: 1 paper 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (12 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

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