Balancing Sparse RNNs with Hyperparameterization Benefiting Meta-Learning

Quincy Hershey, Randy Paffenroth

This paper develops alternative hyperparameters for specifying sparse Recurrent Neural Networks (RNNs). These hyperparameters allow for varying sparsity within the trainable weight…