2021
Continuous Self-Attention Models with Neural ODE Networks
AAAI 2021technical
Stacked self-attention models receive widespread attention, due to its ability of capturing global dependency among words. However, the stacking of many layers and components generates huge parameters, leading to low parameter efficiency. In response to this issue, we propose a lightweight architect…