Search Results for author: Gordon Erlebacher

Found 2 papers, 0 papers with code

The Generalization-Stability Tradeoff In Neural Network Pruning

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.

Network Pruning

Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks

no code implementations4 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.

General Classification Image Classification

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