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Sagan

Paper

A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights

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AI summary

arXiv:2605. 16913v1 Announce Type: new Abstract: Neural networks trained with gradient-based methods exhibit a strong simplicity bias: they learn simpler statistical features of their data before moving to more complex features.