A Comprehensive Survey on Evidential Deep Learning and Its Applications

7 September 2024

Papers citing "A Comprehensive Survey on Evidential Deep Learning and Its Applications"

7 / 7 papers shown

Title
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 23 0 0 11 Oct 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer Wenqiao Zhang Zheqi Lv Hao Zhou Jia-Wei Liu Juncheng Li Mengze Li Siliang Tang Yueting Zhuang EDL 34 11 0 21 Nov 2023
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 20 3 0 12 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 0 10 Sep 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 170 34 0 20 May 2022
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 102 100 0 24 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016