Exploring Weight Importance and Hessian Bias in Model Pruning

19 Jun 2020Mingchen LiYahya SattarChristos ThrampoulidisSamet Oymak

Model pruning is an essential procedure for building compact and computationally-efficient machine learning models. A key feature of a good pruning algorithm is that it accurately quantifies the relative importance of the model weights... (read more)

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