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

MarkTechPost https://www.marktechpost.com/2021/02/20/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 https://arxiv.org/pdf/2101.11714.pdf

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.
GitHub https://github.com/facebookresearch/FBTT-Embedding

Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website

LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b

Photo by Trnava University on Unsplash