Shallow Neural Networks' Efficiency in Spherical Polynomial Learning Enhanced by Channel Attention
Published:Dec 23, 2025 18:05
•1 min read
•ArXiv
Analysis
This research explores improvements in the learning capabilities of shallow neural networks, specifically focusing on the efficient learning of low-degree spherical polynomials. The introduction of learnable channel attention is a key aspect, potentially leading to improved performance in relevant applications.
Key Takeaways
Reference
“The paper studies shallow neural networks' ability to learn low-degree spherical polynomials.”