Carl Lemaire

Structured Pruning of Neural Networks With Budget-Aware Regularization

Pruning methods have shown to be effective at reducing the size of deep neural networks while keeping accuracy almost intact. Among the most effective methods are those that prune a network while training it with a sparsity prior loss and learnable dropout parameters. A shortcoming of these approach…