Training Faster by Separating Modes of Variation in Batch-normalized Models
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Deep Networks with Stochastic Depth
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets