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I am curious on your takes on BYOL/JEPA like training methods and the intuitions/mathematics behind why the hell does it work? From an optimization perspective, without the EMA parameterization of the teacher model, the task would be very trivial and it would lead to model collapse. However, EMA seems to avoid this. Why? Specifically: How can a network learn semantic …