Shaving WeightswithOccam'sRazor: BayesianSparsificationforNeuralNetworks usingtheMarginalLikelihood

Neural Information Processing Systems 

Whilemuchwork has focused on different weight pruning criteria, the overallsparsifiabilityofthe network, i.e., its capacity to be pruned without quality loss, has often been overlooked.

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