AI models
Cutout-regularized net
Published
Aug 15, 2017
Cutout-regularized net is an AI model developed by University of Guelph, Vector Institute and CIFAR AI Research (Canada), first published in August 2017. It works in the vision domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 604.4K datapoints.
The reference paper has 4,263 citations.
Full record
- Organization
- University of Guelph, Vector Institute, CIFAR AI Research
- Country of organization
- Canada
- Domain
- Vision
- Task
- Image classification
- Dataset size
- 604.4K
- Citations
- 4,263
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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