On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
Gradient Descent Quantizes ReLU Network Features
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Minnorm training: an algorithm for training over-parameterized deep neural networks
L ESSONS FROM THE R ADEMACHER C OMPLEXITY FOR D EEP L EARNING
Sensitivity and Generalization in Neural Networks: an Empirical Study