MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization
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DOI: 10.1109/tnnls.2022.3228380
Abstract: The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore… read more here.
Keywords: consistency; confidence; semi supervised; supervised learning ... See more keywords