Georgia Tech and Facebook Reduce Size of Deep Learning Recommendation Models by Factor of 112

Georgia Tech and Facebook AI Researchers Devise a New Tensor Train Approach to Reduce the Size of Deep Learning Recommendation Models up to 112x


TT-Rec: Tensor Train Compression for Deep Learning Recommendation Model Embeddings
Georgia Tech and Facebook arXiv paper

Facebook AI Research FBTT-Embedding GitHub
FBTT-Embedding library provides functionality to compress sparse embedding tables commonly usedin machine learning models such as recommendation and natural language processing.

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