1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2022★ 1 cited
STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification
Jinta Weng, Yue Hu, Jing Qiu +1
The effectiveness of prompt learning has been demonstrated in different pre-trained language models. By formulating suitable template and choosing representative label mapping, pro…
cs.LG2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao, Hong Yang, Peng Zhang +2
Graph Neural Networks (GNNs) have been popularly used for analyzing non-Euclidean data such as social network data and biological data. Despite their success, the design of graph n…