Search Results for author:
Found 1 papers, 0 papers with code
Deep Neural Network Initialization with Sparsity Inducing Activations
Inducing and leveraging sparse activations during training and inference is a promising avenue for improving the computational efficiency of deep networks, which is increasingly important as network sizes continue to grow and their application becomes more widespread.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
