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2410.09005
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Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data
Spectra

Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra

International Conference on Learning Representations (ICLR), 2024

11 October 2024

Roman Worschech

ArXiv (abs)PDF HTML Github

Papers citing "Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra"

3 / 3 papers shown

Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data

Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data

Guillaume Braun

Masaaki Imaizumi

164

1

0

24 Nov 2025

How Feature Learning Can Improve Neural Scaling Laws

How Feature Learning Can Improve Neural Scaling LawsInternational Conference on Learning Representations (ICLR), 2024

Alexander B. Atanasov

Cengiz Pehlevan

559

43

0

26 Sep 2024

Resolving Discrepancies in Compute-Optimal Scaling of Language Models

Resolving Discrepancies in Compute-Optimal Scaling of Language Models

Mitchell Wortsman

Ludwig Schmidt

620

62

0

27 Jun 2024

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