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Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
One surprising trait of neural networks is the extent to which their connections can be pruned with little to no effect on accuracy.
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
In this work, we study such relative distortions in recall by hypothesizing an intensification effect that is inherent to the model.
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