9 citations · 21 across the 8 of their papers we have counts for
8 papers
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald +2
Question answering (QA) has recently shown impressive results for answering questions from customized domains. Yet, a common challenge is to adapt QA models to an unseen target dom…
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
Huimin Zeng, Zhenrui Yue, Yang Zhang +3
In many applications with real-world consequences, it is crucial to develop reliable uncertainty estimation for the predictions made by the AI decision systems. Targeting at the go…
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup
Huimin Zeng, Zhenrui Yue, Ziyi Kou +3
In the real-world application of COVID-19 misinformation detection, a fundamental challenge is the lack of the labeled COVID data to enable supervised end-to-end training of the mo…
Domain Adaptation for Question Answering via Question Classification
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
Question answering (QA) has demonstrated impressive progress in answering questions from customized domains. Nevertheless, domain adaptation remains one of the most elusive challen…
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
Despite recent progress in improving the performance of misinformation detection systems, classifying misinformation in an unseen domain remains an elusive challenge. To address th…
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation
Zhenrui Yue, Huimin Zeng, Ziyi Kou +2
Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time. NILM, or energy…