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31 - Singular Learning Theory with Daniel Murfet

AXRP - the AI X-risk Research Podcast

CHAPTER

Comparing Learning Theories in Deep Learning

This chapter examines the differences between Singular Learning Theory (SLT) and Neural Tangent Kernel (NTK) approaches, focusing on how NTK explains the dynamics of infinitely wide neural networks. The discussion highlights the implications of NTK for hyperparameter selection and its mathematical foundations, while also addressing ongoing debates in the field.

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