Paper Group AWR 242
October 20, 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. DeepV2D: Video to Depth with Differentiable Structure from Motion. Neural Network Renormalization Group. Adversarial Personalized Ranking for Recommendation. Towards Binary-Valued Gates for Robust LSTM Training. FEVER: a large-scale dataset for Fact Extraction and VERification …