Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Diagonal Rescaling For Neural Networks
Disentangled Representations in Neural Models
The Anisotropic Noise in Stochastic Gradient Descent : Its Behavior of Escaping from Minima and Regularization Effects
Estimating Cosmological Parameters from the Dark Matter Distribution
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam