Deep frequency principle towards understanding why deeper learning is faster

28 July 2020

Papers citing "Deep frequency principle towards understanding why deeper learning is faster"

10 / 10 papers shown

Title
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 71 0 0 05 Mar 2025
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space Zongru Wu Zhuosheng Zhang Pengzhou Cheng Gongshen Liu AAML 44 4 0 19 Feb 2024
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks Zhiwei Bai Tao Luo Z. Xu Yaoyu Zhang 23 4 0 26 May 2022
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width Hanxu Zhou Qixuan Zhou Zhenyuan Jin Tao Luo Yaoyu Zhang Zhi-Qin John Xu 25 20 0 24 May 2022
Overview frequency principle/spectral bias in deep learning Z. Xu Yaoyu Zhang Tao Luo FaML 30 65 0 19 Jan 2022
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training Yuheng Ma Zhi-Qin John Xu Jiwei Zhang 19 7 0 04 Jan 2021
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains Ziqi Liu Wei Cai Zhi-Qin John Xu AI4CE 211 122 0 22 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 139 201 0 07 Feb 2020
Benefits of depth in neural networks Matus Telgarsky 136 602 0 14 Feb 2016