Methods › General › Stochastic Optimization › DSPT
double-stage parameter tuning
DSPT
Introduced by Yevgeniy Bodyanskiy et al. in Adaptive hybrid activation function for deep neural networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Parameter tuning method for neural network models with adaptive activation functions.
Papers archive 2025-07-28
1 shown of 1, 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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Adaptive hybrid activation function for deep neural networks 25 Apr 2022 · 1 repository
Tasks archive 2025-07-28
5 tasks 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 |
|---|---|
| Activation Function Synthesis | 1 |
| Image Classification | 1 |
| Learning Theory | 1 |
| Neural Architecture Search | 1 |
| image-classification | 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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