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MACHINE LEARNING USING INFORMED PSEUDOLABELS
MACHINE LEARNING USING INFORMED PSEUDOLABELS
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机译:使用通知的伪标签进行机器学习
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摘要
Subject matter regards improving machine learning techniques using informed pseudolabels. A method can include receiving previously assigned labels indicating an expected classification for data, the labels having a specified uncertainty, generating respective pseudolabels for the data based on the previously assigned labels, the data, a class vector determined by an ML model, and a noise model indicating, based on the specified uncertainty, a likelihood of the previously assigned label given the class, and substituting the pseudolabels for the previously assigned labels in a next epoch of training the ML model.
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