7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CL2021
SDA: Improving Text Generation with Self Data Augmentation
Ping Yu, Ruiyi Zhang, Yang Zhao +3
Data augmentation has been widely used to improve deep neural networks in many research fields, such as computer vision. However, less work has been done in the context of text, pa…
cs.LG2020★ 7 cited
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
Bang An, Jie Lyu, Zhenyi Wang +6
The neural attention mechanism plays an important role in many natural language processing applications. In particular, the use of multi-head attention extends single-head attentio…
cs.CV2019★ 2 cited
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Zhenyi Wang, Ping Yu, Yang Zhao +4
Human-motion generation is a long-standing challenging task due to the requirement of accurately modeling complex and diverse dynamic patterns. Most existing methods adopt sequence…