Methods › General › Adaptive Activation Functions › PMish
Parametric Mish
PMish
Introduced by Prasanna Reddy Pulakurthi et al. in Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The Parametric Mish, or PMish, is a modification of the Mish activation function that has a trainable parameter β. This β parameter allows the network to dynamically adjust the smoothness of the activation function transition. f(x) = x ·tanh((ln(1 + e^(βx)))/β), β> 0,
Papers archive 2025-07-28
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Enhancing GANs with MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition 23 Oct 2024 · 1 repository
Tasks archive 2025-07-28
1 task the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Generation | 1 |
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
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