2 papers
cs.DC2023
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems
Zhengqing Yuan, Huiwen Xue, Chao Zhang +1
Large deep learning models have shown great potential for delivering exceptional results in various applications. However, the training process can be incredibly challenging due to…
cs.CL2022
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding
Zhengqing Yuan, Xiaolong Zhang, Yue Wang +4
Data augmentation is a widely used technique in machine learning to improve model performance. However, existing data augmentation techniques in natural language understanding (NLU…