Adversarial training of machine learning models

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United States of America

PATENT NO 12242971
APP PUB NO 20210142181A1
SERIAL NO

16775635

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Abstract

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This document relates to training of machine learning models such as neural networks. One example method involves providing a machine learning model having one or more layers and associated parameters and performing a pretraining stage on the parameters of the machine learning model to obtain pretrained parameters. The example method also involves performing a tuning stage on the machine learning model by using labeled training samples to tune the pretrained parameters. The tuning stage can include performing noise adjustment of the labeled training examples to obtain noise-adjusted training samples. The tuning stage can also include adjusting the pretrained parameters based at least on the labeled training examples and the noise-adjusted training examples to obtain adapted parameters. The example method can also include outputting a tuned machine learning model having the adapted parameters.

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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
Chen, Weizhu Kirkland, US 41 567
Gao, Jianfeng Woodinville, US 157 5455
He, Pengcheng Sammamish, US 25 84
Liu, Xiaodong Bellevue, US 213 1292

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