Joint learning from explicit and inferred labels

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United States of America Patent

PATENT NO 12073326
APP PUB NO 20240046087A1
SERIAL NO

18376615

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This document relates to training of machine learning models. One example method involves providing a machine learning model having a first classification layer, a second classification layer, and an encoder that feeds into the first classification layer and the second classification layer. The example method also involves obtaining first training examples having explicit labels and second training examples having inferred labels. The inferred labels are based at least on actions associated with the second training examples. The example method also involves training the machine learning model using the first training examples and the second training examples using a training objective that considers first training loss of the first classification layer for the explicit labels and second training loss of the second classification layer for the inferred labels. The method also involves outputting a trained machine learning model having the encoder and the first classification layer.

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Patent Owner(s)

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MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Awadalla, Ahmed Redmond, US 14 179
Dumais, Susan Theresa Kirkland, US 7 95
Mukherjee, Subhabrata Seattle, US 7 7
Shokouhi, Milad Seattle, US 19 428
Shu, Kai Mesa, US 12 21
Zheng, Guoqing Redmond, US 2 3

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