A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
.Metalearning of numerical algorithms for a given task consists of the data-driven identification and adaptation of an algorithmic structure and the associated hyperparameters. To limit the complexity of the metalearning problem, neural architectures with a certain inductive bias towards favorable algorithmic structures can, and should, be used. We generalize our …