23 citations · 116 across the 34 of their papers we have counts for
6 papers · 1 filter
A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging
Vaibhav Joshi, Sricharan Vijayarangan, Preejith SP +1
Automatic Sleep Staging study is presently done with the help of Electroencephalogram (EEG) signals. Recently, Deep Learning (DL) based approaches have enabled significant progress…
Logic Traps in Evaluating Attribution Scores
Yiming Ju, Yuanzhe Zhang, Zhao Yang +3
Modern deep learning models are notoriously opaque, which has motivated the development of methods for interpreting how deep models predict. This goal is usually approached with at…
Lifelong Intent Detection via Multi-Strategy Rebalancing
Qingbin Liu, Xiaoyan Yu, Shizhu He +2
Conventional Intent Detection (ID) models are usually trained offline, which relies on a fixed dataset and a predefined set of intent classes. However, in real-world applications,…
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
Xinyu Zuo, Pengfei Cao, Yubo Chen +4
Current models for event causality identification (ECI) mainly adopt a supervised framework, which heavily rely on labeled data for training. Unfortunately, the scale of current an…
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Xinyu Zuo, Pengfei Cao, Yubo Chen +4
Modern models for event causality identification (ECI) are mainly based on supervised learning, which are prone to the data lacking problem. Unfortunately, the existing NLP-related…
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Yinyu Lan, Shizhu He, Xiangrong Zeng +3
Background Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (Med…