AI models
Denoising Autoencoders
Published
Jul 5, 2008
Denoising Autoencoders is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in July 2008. It works in the other domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 7.8M datapoints.
The reference paper has 7,894 citations.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Other
- Task
- Image classification
- Dataset size
- 7.8M
- Citations
- 7,894
More from University of Montreal / Université de Montréal
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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