Linli Xu

Exploiting Task-Feature Co-Clusters in Multi-Task Learning

2015 · Proceedings of the AAAI Conference on Artificial Intelligence

In multi-task learning, multiple related tasks are considered simultaneously, with the goal to improve the generalization performance by utilizing the intrinsic sharing of information across tasks. This paper presents a multi-task learning approach by modeling …

Label Incorporated Graph Neural Networks for Text Classification

2021

Graph Neural Networks (GNNs) have achieved great success on graph-structured data, and their applications on traditional data structures such as natural language processing and semi-supervised text classification have been extensively explored in recent years. While …