Activation Function Synthesis

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Can Transformers Do Enumerative Geometry?
  27 Aug 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  In this work, we introduce a Transformer-based approach to computational enumerative geometry, specifically targeting the computation of ψ-class intersection numbers on the moduli space of curves.
• Learnable Extended Activation Function (LEAF) for Deep Neural Networks
  30 Sep 2023 1 repository listed
  This paper introduces Learnable Extended Activation Function (LEAF) - an adaptive activation function that combines the properties of squashing functions and rectifier units.
• Deep neural network based on F-neurons and its learning
  3 Nov 2022 1 repository listed
  Deep neural networks often employ piece-wise activation functions like ReLU to overcome the effects of exploding and vanishing gradients.
• Adaptive hybrid activation function for deep neural networks
  25 Apr 2022 1 repository listed
  The proposed function can be used as a drop-in replacement for ReLU, SiL and Swish activations for deep neural networks and can evolve to one of such functions during the training.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.