Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization

8 May 2020Xiaotao JiaJianlei YangRunze LiuXueyan WangSorin Dan CotofanaWeisheng Zhao

Bayesian method is capable of capturing real world uncertainties/incompleteness and properly addressing the over-fitting issue faced by deep neural networks. In recent years, Bayesian Neural Networks (BNNs) have drawn tremendous attentions of AI researchers and proved to be successful in many applications... (read more)

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