2020
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
ICML 2020poster
Recent work has shown that topological enhancements to recurrent neural networks (RNNs) can increase their expressiveness and representational capacity. Two popular enhancements are stacked RNNs, which increases the capacity for learning non-linear functions, and bidirectional processing, which expl…