AI models
Stacked Semisuperviser Autoencoders
Parameters
3M
Published
Jul 15, 2008
Stacked Semisuperviser Autoencoders is an AI model developed by New York University (NYU) and Microsoft (United States), first published in July 2008. It works in the language domain, on tasks such as document representation.
Epoch AI has no training-compute estimate for this model. The model has 3,000,000 parameters.
The reference paper has 243 citations.
Full record
- Organization
- New York University (NYU), Microsoft
- Country of organization
- United States
- Domain
- Language
- Task
- Document representation
- Parameters
- 3,000,000
- Citations
- 243
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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