Deep Learning Model Based on Attention Using Embedding Scheme for Continuous Variables of Tabular Data

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United States of America Patent

APP PUB NO 20230206025A1
SERIAL NO

17993831

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A deep learning model based on attention using an embedding scheme for continuous variables of tabular data. A method of constructing the deep learning model based on attention includes converting tabular data of structured data having a mixture of categorical variables and continuous variables into embedding values and training a network model including a transformer block, a linear layer block, and a sharing function for the sharing of an attention between the transformer block and the linear layer block by using the embedding values.

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Patent OwnerAddress
PUSAN NATIONAL UNIVERSITY INDUSTRY-UNIVERSITY COOPERATION FOUNDATION2 BUSANDAEHAK-RO 63BEON-GIL GEUMJEONG-GU BUSAN 46241 46241

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kim, Juseong Busan, KR 2 0
Song, Giltae Busan, KR 3 3

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