[N] Georgia Tech & Facebook Tensor Train Approach Achieves 112x Size Reduction in DL Recommendation Models

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A new study by the Georgia Institute of Technology and Facebook AI introduces TT-Rec, a way to drastically compress the size of memory-intensive Deep Learning Recommendation Models (DLRM) and make them easier to deploy at scale.

Here is a quick read: Georgia Tech & Facebook Tensor Train Approach Achieves 112x Size Reduction in DL Recommendation Models

The paper TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models is on arXiv, and the code is available on the project GitHub.

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