A Kernel Perspective of Skip Connections in Convolutional Networks

27 November 2022

Papers citing "A Kernel Perspective of Skip Connections in Convolutional Networks"

8 / 8 papers shown

Title
Generalization of Scaled Deep ResNets in the Mean-Field Regime Yihang Chen Fanghui Liu Yiping Lu Grigorios G. Chrysos V. Cevher 35 2 0 14 Mar 2024
Generalization in Kernel Regression Under Realistic Assumptions Daniel Barzilai Ohad Shamir 29 15 0 26 Dec 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 29 7 0 08 Nov 2023
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach Shaopeng Fu Di Wang AAML 33 1 0 09 Oct 2023
Boosting Residual Networks with Group Knowledge Shengji Tang Peng Ye Baopu Li Wei Lin Tao Chen Tong He Chong Yu Wanli Ouyang 46 5 0 26 Aug 2023
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum Amnon Geifman Daniel Barzilai Ronen Basri Meirav Galun 29 5 0 26 Jul 2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks XinYu Piao Tong He DoangJoo Synn Baopu Li Tao Chen Lei Bai Jong-Kook Kim 49 4 0 04 May 2023
Benefits of depth in neural networks Matus Telgarsky 142 602 0 14 Feb 2016