Manipulating Sparse Double Descent

Ya Shi Zhang

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Manipulating Sparse Double Descent

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arxiv 2401.10686 v1 pith:A4DBRXCS submitted 2024-01-19 cs.LG

Ya Shi Zhang This is my paper · ORCID

classification cs.LG

keywords descentdoubleneuralphenomenonsparsealternativecomplexcomplexity

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This paper investigates the double descent phenomenon in two-layer neural networks, focusing on the role of L1 regularization and representation dimensions. It explores an alternative double descent phenomenon, named sparse double descent. The study emphasizes the complex relationship between model complexity, sparsity, and generalization, and suggests further research into more diverse models and datasets. The findings contribute to a deeper understanding of neural network training and optimization.

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