Self-training with Noisy Student is a popular semi-supervised learning technique in deep learning that has been shown to significantly improve model performance by using unlabeled data. It is especially useful when labeled data is scarce or expensive to obtain. In this short blog post, we will discuss what self-training with Noisy Student is, how it works, and how to implement it in PyTorch.

https://www.ai-contentlab.com/2023/03/self-training-with-noisy-student.html

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