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cs.LG2025
Divergence of Empirical Neural Tangent Kernel in Classification Problems
Zixiong Yu, Songtao Tian, Guhan Chen
This paper demonstrates that in classification problems, fully connected neural networks (FCNs) and residual neural networks (ResNets) cannot be approximated by kernel logistic reg…
cs.LG2024
Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
Zixiong Yu, Guhan Chen, Jianfa Lai +2
Scaling factors in residual branches have emerged as a prevalent method for boosting neural network performance, especially in normalization-free architectures. While prior work ha…