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cs.LG2018
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
Harris Partaourides, Sotirios P. Chatzis
Deep neural networks (DNNs) often require good regularizers to generalize well. Currently, state-of-the-art DNN regularization techniques consist in randomly dropping units and/or…
cs.LG2018
Deep learning with t-exponential Bayesian kitchen sinks
Harris Partaourides, Sotirios Chatzis
Bayesian learning has been recently considered as an effective means of accounting for uncertainty in trained deep network parameters. This is of crucial importance when dealing wi…