20 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 5 cited
ADGym: Design Choices for Deep Anomaly Detection
Minqi Jiang, Chaochuan Hou, Ao Zheng +5
Deep learning (DL) techniques have recently found success in anomaly detection (AD) across various fields such as finance, medical services, and cloud computing. However, most of t…
cs.LG2023★ 1 cited
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation
Xiyang Hu, Yan Huang, Beibei Li +1
FinTech lending (e.g., micro-lending) has played a significant role in facilitating financial inclusion. It has reduced processing times and costs, enhanced the user experience, an…
cs.LG2023★ 20 cited
Weakly Supervised Anomaly Detection: A Survey
Minqi Jiang, Chaochuan Hou, Ao Zheng +6
Anomaly detection (AD) is a crucial task in machine learning with various applications, such as detecting emerging diseases, identifying financial frauds, and detecting fake news.…