1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
Quanyu Dai, Jiaren Xiao, Zhaocheng Du +4
In online advertising, uncertainty calibration aims to adjust a ranking model's probability predictions to better approximate the true likelihood of an event, e.g., a click or a co…
cs.CV2023
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
Mingqing Wang, Jiawei Li, Zhenyang Li +4
Unsupervised anomaly detection (UAD) has been widely implemented in industrial and medical applications, which reduces the cost of manual annotation and improves efficiency in dise…