### DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. (arXiv:1911.09804v1 [cs.LG])

Bayesian neural networks (BNNs) introduce uncertainty estimation to deep networks by performing Bayesian inference on network weights. However, such models bring the challenges of inference, and further BNNs with weight uncertainty rarely achieve superior performance to standard models. In this paper, we investigate a new line of Bayesian deep learning by performing Bayesian reasoning on…