MV-RNN

Parameters

3.5M

Published

Jul 12, 2012

MV-RNN is an AI model developed by Stanford University (United States), first published in July 2012. It works in the language domain, on tasks such as text classification.

Epoch AI has no training-compute estimate for this model. The model has 3,510,255 parameters. It was trained on roughly 10K datapoints.

The reference paper has 1,459 citations.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Language
Task: Text classification
Parameters: 3,510,255
Dataset size: 10K
Citations: 1,459