Methods › General › Adaptive Activation Functions › DELU
DELU
Introduced by Evgenii Pishchik in Trainable Activations for Image Classification
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The DELU is a type of activation function that has trainable parameters, uses the complex linear and exponential functions in the positive dimension and uses the SiLU in the negative dimension.
DELU(x) = SiLU(x), x ⩽0 DELU(x) = (n + 0.5)x + |e⁻ˣ - 1|, x > 0
Papers archive 2025-07-28
2 shown of 2, 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.
-
Deep Contract Design via Discontinuous Networks 5 Jul 2023 · 0 repositories · arXiv:2307.02318
-
Trainable Activations for Image Classification 26 Jan 2023 · 1 repository
Tasks archive 2025-07-28
2 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 |
|---|---|
| Image Classification | 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
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