2019
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets
NeurIPS 2019poster
There has been a recent shift in sequence-to-sequence modeling from recurrent network architectures to convolutional network architectures due to computational advantages in training and operation while still achieving competitive performance. For systems having limited long-term temporal dependenc…