Co-occurring keywords · papers mentioning both
Papers
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
ICLR 2020
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
ICLR 2019
A Refined Margin Distribution Analysis for Forest Representation Learning
NeurIPS 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
NeurIPS 2019
Learning Optimal Linear Regularizers
ICML 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning
ICML 2019
Predicting the Generalization Gap in Deep Networks with Margin Distributions
ICLR 2019
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
NeurIPS 2018
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
NeurIPS 2017