Are Deep Learning Methods all based on Bayesian School？What about Self-Supervised Learning?

For example, traditional supervisied learning may train a neural network by image or text data with labels. And it is the same as P(A|B) in the form of Bayesian probability when B are labels of data.

When considering self-supervised learning, networks might learn a distribution or feature of the data without labels. If the point of view that data-driven deep learning methods are all based on Bayesian school is correct, how to explain self-supervised learning with statistic symbols? If not, …

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