Convolutional Sequence Modeling Revisited
Convolutional Sequence Modeling Revisited
Shaojie Bai,J. Kolter,V. Koltun
2018 · DBLP: conf/iclr/BaiKK18
International Conference on Learning Representations · 78 Citations
TLDR
It is argued that it may be time to (re)consider ConvNets as the default “go to” architecture for sequence modeling, and the potential “infinite memory” advantage that RNNs have over TCNs is largely absent in practice.