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cs.LG2019★ 162 cited
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
Kumar Shridhar, Felix Laumann, Marcus Liwicki
Artificial Neural Networks are connectionist systems that perform a given task by learning on examples without having prior knowledge about the task. This is done by finding an opt…
cs.LG2018★ 60 cited
Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference
Kumar Shridhar, Felix Laumann, Marcus Liwicki
We introduce a novel uncertainty estimation for classification tasks for Bayesian convolutional neural networks with variational inference. By normalizing the output of a Softplus…