77 citations · 90 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 77 cited
Enhanced Convolutional Neural Tangent Kernels
Zhiyuan Li, Ruosong Wang, Dingli Yu +4
Recent research shows that for training with loss, convolutional neural networks (CNNs) whose width (number of channels in convolutional layers) goes to infinity correspon…
cs.LG2019★ 13 cited
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora, Simon S. Du, Zhiyuan Li +3
Recent research shows that the following two models are equivalent: (a) infinitely wide neural networks (NNs) trained under l2 loss by gradient descent with infinitesimally small l…
cs.LG2019
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
Wei Hu, Zhiyuan Li, Dingli Yu
Over-parameterized deep neural networks trained by simple first-order methods are known to be able to fit any labeling of data. Such over-fitting ability hinders generalization whe…