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19962020
most citedDropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

2.6k citations · 11.1k across the 96 of their papers we have counts for

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cs.LG2019★ 20 cited

Bayesian Learning of Sum-Product Networks

Martin Trapp, Robert Peharz, Hong Ge +2

Sum-product networks (SPNs) are flexible density estimators and have received significant attention due to their attractive inference properties. While parameter learning in SPNs i…