Methods › General › Adaptive Activation Functions › PAU
Padé Activation Units
PAU
Introduced by Alejandro Molina et al. in Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Parametrized learnable activation function, based on the Padé approximant.
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.
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Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval 29 Sep 2023 · 1 repository · arXiv:2309.17093Syntology ran 12 of 19 samples · 7 unverified
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Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks 15 Jul 2019 · 5 repositories · arXiv:1907.06732Syntology ran 3 of 4 samples · 1 unverified
Tasks archive 2025-07-28
10 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
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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