Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior

22 May 2024

Papers citing "Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior"

6 / 6 papers shown

Title
Improving the Effectiveness of Deep Generative Data Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 29 3 0 07 Nov 2023
OpenDataVal: a Unified Benchmark for Data Valuation Kevin Jiang Weixin Liang James Y. Zou Yongchan Kwon FedML 42 34 0 18 Jun 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 67 184 0 26 Mar 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV 195 25 0 30 Jan 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 50 94 0 30 May 2022
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Yingjie Zhou Xuchen Song Yanru Zhang Fanxing Liu Ce Zhu Lingqiao Liu UQCV 20 102 0 22 May 2021