Frequency Regularization: Understanding Spectral Bias in Deep Neural Networks

This ArXiv paper explores the impact of frequency regularization on the spectral bias of deep neural networks, a crucial aspect of understanding their generalization capabilities. The research likely offers valuable insights into how to control and potentially improve the performance and robustness of these models by manipulating their frequency response.

• •Focuses on frequency regularization.
• •Investigates the spectral inductive bias of deep neural networks.
• •Published on ArXiv, suggesting a research paper.