Tag: also
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Supervised Models Can Generalize Also When Trained on Random Label
Supervised Models Can Generalize Also When Trained on Random Label arXiv:2505.11006v1 Announce Type: new Abstract: The success of unsupervised learning raises the question of whether also supervised models can be trained without using the information in the output $y$. In this paper, we demonstrate that this is indeed possible. The key step is to formulate…