Semantic Hashing

Parameters

2.6M

Published

Dec 10, 2008

Semantic Hashing is an AI model developed by University of Toronto (Canada), first published in December 2008. It works in the language domain, on tasks such as search.

Epoch AI has no training-compute estimate for this model. The model has 2,600,000 parameters. It was trained on roughly 1.5B datapoints.

The reference paper has 1,487 citations.

Full record

Organization: University of Toronto
Country of organization: Canada
Domain: Language
Task: Search
Parameters: 2,600,000
Dataset size: 1.5B
Citations: 1,487