most citedA Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology

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cs.LG2018

VIBNN: Hardware Acceleration of Bayesian Neural Networks

Ruizhe Cai, Ao Ren, Ning Liu +5

Bayesian Neural Networks (BNNs) have been proposed to address the problem of model uncertainty in training and inference. By introducing weights associated with conditioned probabi…