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

doi:doi:10.57702/eqxd1cv2

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.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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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

DOI retrieved: December 16, 2024

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