Hugging Face Trending Papers June 1, 2026

Provable Data Scaling Law for Meta Learning via Complexity Minimization

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Pre-training has become a fundamental paradigm in modern machine learning, with one of its key empirical benefits being reduced downstream sample complexity as the scale of pre-training data increases. However, existing theoretical frameworks for pre-training do not fully explain this phenomenon.

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arXiv Machine Learning

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Provable Data Scaling Law for Meta Learning via Complexity Minimization

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