no code implementations • NeurIPS 2020 • Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
Pruning neural network parameters is often viewed as a means to compress models, but pruning has also been motivated by the desire to prevent overfitting.
no code implementations • 4 May 2018 • Brian Bartoldson, Adrian Barbu, Gordon Erlebacher
Removing weights from an ANN is a form of regularization, but existing pruning algorithms do not significantly improve generalization error.