42 citations · 42 across the 2 of their papers we have counts for
4 papers
Theory of the Frequency Principle for General Deep Neural Networks
Tao Luo, Zheng Ma, Zhi-Qin John Xu +1
Along with fruitful applications of Deep Neural Networks (DNNs) to realistic problems, recently, some empirical studies of DNNs reported a universal phenomenon of Frequency Princip…
Focus and Dilution: The Multi-stage Learning Process of Attention
Zheng-An Chen, Pengxiao Lin, Zhi-Qin John Xu +1
Transformer-based models have achieved remarkable success across a wide range of domains, yet our understanding of their training dynamics remains limited. In this work, we identif…
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Zhiwei Bai, Tao Luo, Zhi-Qin John Xu +1
Understanding the relation between deep and shallow neural networks is extremely important for the theoretical study of deep learning. In this work, we discover an embedding princi…
Overview frequency principle/spectral bias in deep learning
Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo
Understanding deep learning is increasingly emergent as it penetrates more and more into industry and science. In recent years, a research line from Fourier analysis sheds lights o…