Hugging Face Trending Papers June 22, 2026

Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions

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Over the past decade, deep neural networks (DNNs) have achieved remarkable success on complex machine-learning tasks, yet the theoretical foundations of their performance remain incomplete. From a statistical viewpoint, a natural question is: can DNNs attain feature-learning and prediction consistency comparable to that of classical models?

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