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Act-Bench-CNN, Act-Bench-ResNet, and Act-Bench-ViT

Three benchmark datasets: Act-Bench-CNN, Act-Bench-ResNet, and Act-Bench-ViT, created by training convolutional, residual, and vision transformer architectures from scratch with 2,913 systematically generated activation functions.

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Cite this as

Garrett Bingham, Risto Miikkulainen (2024). Dataset: Act-Bench-CNN, Act-Bench-ResNet, and Act-Bench-ViT. https://doi.org/10.57702/eqxd1cv2

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Garrett Bingham
More Authors	Risto Miikkulainen
Homepage	https://github.com/cognizant-ai-labs/act-bench