Meta Pseudo Labels
We all know about meta-learning and pseudo labeling but what if we combine the two techniques for semi-supervised learning? Can it be any beneficial?
semi-supervised-learning meta-learning machine-learning deep-learning neural-networks research
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MPL makes use of both labeled and unlabeled data, making it a typical SSL algorithm but a significant difference between MPL and other SSL methods is that the teacher model receives learning signals from the student’s performance, and hence can adapt to the student’s learning state throughout the student’s training.

Don't forget to tag @AakashKumarNain in your comment.

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Machine Learning Engineer. Computer Vision with deep learning is fun. Pythonic in every way!
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