State-Regularized Recurrent Neural Networks

Cheng Wang, Mathias Niepert

Abstract: Recurrent neural networks are a widely used class of neural architectures with two shortcomings. First, it is difficult to understand what exactly they learn. Second, they tend to work poorly on se...