A Minimum Description Length Approach to Regularization in Neural Networks

Matan Abudy, Orr Well, Emmanuel Chemla +2

State-of-the-art neural networks can be trained to become remarkable solutions to many problems. But while these architectures can express symbolic, perfect solutions, trained mode…