Efficient embedding table storage and lookup

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United States of America Patent

PATENT NO 11892998
APP PUB NO 20230169058A1
SERIAL NO

18161352

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Abstract

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The present disclosure provides systems, methods, and computer program products for providing efficient embedding table storage and lookup in machine-learning models. A computer-implemented method may include obtaining an embedding table comprising a plurality of embeddings respectively associated with a corresponding index of the embedding table, compressing each particular embedding of the embedding table individually allowing each respective embedding of the embedding table to be decompressed independent of any other embedding in the embedding table, packing the embedding table comprising individually compressed embeddings with a machine-learning model, receiving an input to use for locating an embedding in the embedding table, determining a lookup value based on the input to search indexes of the embedding table, locating the embedding based on searching the indexes of the embedding table for the determined lookup value, and decompressing the located embedding independent of any other embedding in the embedding table.

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Patent Owner(s)

Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Menghani, Gaurav Santa Clara, US 4 22

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