3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 3 cited
Efficient Generalization Improvement Guided by Random Weight Perturbation
Tao Li, Weihao Yan, Zehao Lei +4
To fully uncover the great potential of deep neural networks (DNNs), various learning algorithms have been developed to improve the model's generalization ability. Recently, sharpn…
stat.ML2021
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels
Qin Luo, Kun Fang, Jie Yang +1
Random Fourier Features (RFF) demonstrate wellappreciated performance in kernel approximation for largescale situations but restrict kernels to be stationary and positive definite.…