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Paper

Learning Sparse Compositional Functions with Norm-Constrained Neural Networks

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AI summary

arXiv:2605. 25608v1 Announce Type: new Abstract: The ability of deep neural networks to learn hierarchical features is widely regarded as a key mechanism underlying their success in high-dimensional learning.