4 papers
Measuring the Impact of Rotation Equivariance on Aerial Object Detection
Xiuyu Wu, Xinhao Wang, Xiubin Zhu +3
Due to the arbitrary orientation of objects in aerial images, rotation equivariance is a critical property for aerial object detectors. However, recent studies on rotation-equivari…
Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models
Zefan Zeng, Xingchen Hu, Qing Cheng +3
Event Causality Identification (ECI) aims to detect causal relationships between events in textual contexts. Existing ECI models predominantly rely on supervised methodologies, suf…
A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects
Qing Cheng, Zefan Zeng, Xingchen Hu +2
Event Causality Identification (ECI) has become an essential task in Natural Language Processing (NLP), focused on automatically detecting causal relationships between events withi…
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
Jiyuan Liu, Siqi Wang, Xinhang Wan +4
Vertical federated learning is a natural and elegant approach to integrate multi-view data vertically partitioned across devices (clients) while preserving their privacies. Apart f…