What is it about?
A technique to reduce the memory footprint of the training data and in the meantime accelerating the training process when using mini-batch gradient descent in machine learning.
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This page is a summary of: Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent, June 2019, ACM (Association for Computing Machinery),
DOI: 10.1145/3299869.3300070.
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