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Evidential Deep Learning

EDL
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An approach in deep learning that provides reliable uncertainty estimation with minimal computational overhead in a single forward pass.

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50 / 166 papers shown
Title
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Shireen Kudukkil Manchingal
Armand Amaritei
Mihir Gohad
Maryam Sultana
Julian F. P. Kooij
Fabio Cuzzolin
Andrew Bradley
UQCVEDL
222
0
0
26 Oct 2025
Uncertainty Estimation by Flexible Evidential Deep Learning
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon
Heeyoung Kim
OODDUQCVBDLEDL
176
0
0
21 Oct 2025
Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
Zhen Yang
Yansong Ma
Lei Chen
EDL
125
0
0
10 Oct 2025
Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
Uncertainty-Supervised Interpretable and Robust Evidential SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yuzhu Li
An Sui
Fuping Wu
Xiahai Zhuang
UQCVEDLOOD
307
0
0
21 Sep 2025
Evidential Physics-Informed Neural Networks for Scientific Discovery
Evidential Physics-Informed Neural Networks for Scientific Discovery
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
EDLPINN
207
2
0
18 Sep 2025
Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
Hassan Gharoun
M. S. Khorshidi
Kasra Ranjbarigderi
Fang Chen
Amir H. Gandomi
EDL
154
0
0
11 Sep 2025
Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
Weide Liu
Xiaoyang Zhong
Lu Wang
Jingwen Hou
Yuemei Luo
Jiebin Yan
Yuming Fang
EDLAI4TS
175
0
0
26 Aug 2025
Driving Accurate Allergen Prediction with Protein Language Models and Generalization-Focused Evaluation
Driving Accurate Allergen Prediction with Protein Language Models and Generalization-Focused Evaluation
Brian Shing-Hei Wong
Joshua Mincheol Kim
Sin-Hang Fung
Qing Xiong
Kelvin Fu-Kiu Ao
...
Bo-Si Feng
Alfred Sze-Lok Cheng
Kevin Y. Yip
Stephen Kwok-Wing Tsui
Qin Cao
EDL
116
0
0
14 Aug 2025
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System
Romeo Valentin
Sydney M. Katz
Artur B. Carneiro
Don Walker
Mykel J. Kochenderfer
EDLUQCV
126
0
0
13 Aug 2025
Efficient Uncertainty in LLMs through Evidential Knowledge Distillation
Efficient Uncertainty in LLMs through Evidential Knowledge Distillation
Lakshmana Sri Harsha Nemani
P.K. Srijith
Tomasz Kuśmierczyk
UQCVEDLUD
168
0
0
24 Jul 2025
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
Rohit Mohan
Julia Hindel
F. Drews
Claudius Gläser
Daniele Cattaneo
Abhinav Valada
UQCVEDL
266
0
0
16 Jun 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion ApproachIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Qingfeng Chen
Shiyuan Li
Yixin Liu
Shirui Pan
Geoffrey I. Webb
Shichao Zhang
EDL
222
6
0
16 Jun 2025
Open-Set Domain Generalization through Spectral-Spatial Uncertainty Disentanglement for Hyperspectral Image Classification
Open-Set Domain Generalization through Spectral-Spatial Uncertainty Disentanglement for Hyperspectral Image Classification
Amirreza Khoshbakht
Erchan Aptoula
EDL
180
0
0
11 Jun 2025
Co-Evidential Fusion with Information Volume for Medical Image Segmentation
Co-Evidential Fusion with Information Volume for Medical Image Segmentation
Yuanpeng He
Lijian Li
Tianxiang Zhan
Chi-Man Pun
Wenpin Jiao
Zhi Jin
EDL
188
0
0
03 Jun 2025
Evidential Deep Active Learning for Semi-Supervised Classification
Evidential Deep Active Learning for Semi-Supervised Classification
Shenkai Zhao
Xinao Zhang
Lipeng Pan
Xiaobin Xu
Danilo Pelusi
EDLUQCV
159
0
0
27 May 2025
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs
Artem Vazhentsev
Abdelrahman Boda Sadallah
Gleb Kuzmin
Ekaterina Fadeeva
Ivan Lazichny
...
Maxim Panov
Timothy Baldwin
Mrinmaya Sachan
Preslav Nakov
Artem Shelmanov
EDLHILM
315
3
0
26 May 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Reliable Disentanglement Multi-view Learning Against View Adversarial AttacksInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Xuyang Wang
Siyuan Duan
Qizhi Li
Guiduo Duan
Yuan Sun
Dezhong Peng
AAMLEDL
457
1
0
07 May 2025
Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization
Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization
Hye-Min Won
Jieun Lee
Jiyong Oh
EDL
322
2
0
10 Apr 2025
Evidential Uncertainty Probes for Graph Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Linlin Yu
Kangshuo Li
Pritom Kumar Saha
Yifei Lou
Feng Chen
EDLUQCV
317
0
0
11 Mar 2025
Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction
Sajad Marvi
Christoph B. Rist
Julian Schmidt
Julian Jordan
Abhinav Valada
EDLUQCV
161
1
0
07 Mar 2025
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
Rohit Menon
Nils Dengler
Sicong Pan
Gokul Krishna Chenchani
Maren Bennewitz
EDL
353
0
0
06 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based ApproachComputer Vision and Pattern Recognition (CVPR), 2025
Chen-Chen Zong
Sheng-Jun Huang
EDL
320
3
0
27 Feb 2025
Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence ApproachEnvironmental Modelling & Software (Environ. Model. Softw.), 2025
Israt Jahan
John S. Schreck
D. Gagne
Charlie Becker
Marina Astitha
EDL
225
0
0
01 Feb 2025
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
Ayush Khot
Xiwei Wang
Avik Roy
Volodymyr V. Kindratenko
Mark S. Neubauer
EDL
141
4
0
10 Jan 2025
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor SegmentationKnowledge-Based Systems (KBS), 2024
Yuxuan Qi
L. Lin
Jiajun Wang
Jingya Zhang
Bin Zhang
EDLMedIm
235
2
0
03 Jan 2025
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
Jiang Shang
Y. Wu
Xiaoxiang Han
Xi Chen
Qi Zhang
EDLUQCV
190
0
0
03 Jan 2025
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head
  Attention for Weak-Supervised Temporal Action Localization
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action LocalizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Yuanpeng He
Lijian Li
Tianxiang Zhan
Wenpin Jiao
Chi-Man Pun
EDL
231
9
0
27 Dec 2024
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
Grigor Bezirganyan
Sana Sellami
Laure Berti-Équille
Sébastien Fournier
EDL
214
1
0
23 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm
  Events
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
Ayush Khot
Xihaier Luo
Ai Kagawa
Shinjae Yoo
EDLBDL
240
3
0
18 Dec 2024
UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set
  Object Detection Framework
UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set Object Detection Framework
Silin Cheng
Yuanpei Liu
Kai Han
EDL
251
0
0
12 Dec 2024
Risk-aware Classification via Uncertainty Quantification
Risk-aware Classification via Uncertainty Quantification
Murat Sensoy
Lance M. Kaplan
Simon Julier
Maryam Saleki
Federico Cerutti
UQCVEDL
175
1
0
04 Dec 2024
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
Long Shi
Chuanqing Tang
Huangyi Deng
Cai Xu
Lei Xing
Badong Chen
EDL
295
1
0
06 Nov 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Uncertainty Estimation for 3D Object Detection via Evidential Learning
Nikita Durasov
Rafid Mahmood
Jiwoong Choi
Marc T. Law
James Lucas
Pascal Fua
Jose M. Alvarez
UQCVEDL3DPC
233
4
0
31 Oct 2024
ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless
  Environment Perception
ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception
Ahmad M. Nazar
Abdulkadir Çelik
Mohamed Y. Selim
Asmaa Abdallah
Daji Qiao
Ahmed M. Eltawil
EDL
115
5
0
08 Oct 2024
Dynamic Evidence Decoupling for Trusted Multi-view Learning
Dynamic Evidence Decoupling for Trusted Multi-view LearningACM Multimedia (MM), 2024
Ying Liu
Lihong Liu
Yilin Zhang
Xiangyu Song
Ziyu Guan
Wei Zhao
EDL
168
10
0
04 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep
  Learning
Revisiting Essential and Nonessential Settings of Evidential Deep LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
278
4
0
01 Oct 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning
Uncertainty Estimation by Density Aware Evidential Deep LearningInternational Conference on Machine Learning (ICML), 2024
Taeseong Yoon
Heeyoung Kim
OODDUQCVBDLEDL
200
7
0
13 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDLBDLUQCV
307
14
0
07 Sep 2024
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image
  Classification
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
Kangdao Liu
Tianhao Sun
Hao Zeng
Yongshan Zhang
Chi-Man Pun
Chi-Man Vong
EDL
233
6
0
02 Sep 2024
Holistic Uncertainty Estimation For Open-Set Recognition
Holistic Uncertainty Estimation For Open-Set Recognition
Leonid Erlygin
Alexey Zaytsev
CVBMEDLUQCV
270
1
0
26 Aug 2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware
  Prostate Cancer Detection
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
A. Hung
Haoxin Zheng
Kai Zhao
Kaifeng Pang
D. Terzopoulos
Kyunghyun Sung
EDLMedIm
206
2
0
01 Jul 2024
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu
Binyi Su
Qichuan Geng
Hua Zhang
Zhong Zhou
EDL
342
0
0
26 Jun 2024
Evidential Uncertainty Sets in Deep Classifiers Using Conformal
  Prediction
Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction
Hamed Karimi
Reza Samavi
BDLEDLUQCV
335
4
0
16 Jun 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance
  Uncertainty Estimation
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu
Luping Ji
EDL
262
6
0
07 May 2024
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi
Shulan Ruan
Ziqi Zhu
Minfan Zhao
Hong An
Ambuj Tewari
Bing Yan
UQCVEDL
217
7
0
01 May 2024
Deep Evidential Learning for Dose Prediction
Deep Evidential Learning for Dose Prediction
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
EDLOODUQCV
112
4
0
26 Apr 2024
Trusted Multi-view Learning under Noisy Supervision
Trusted Multi-view Learning under Noisy Supervision
Yilin Zhang
Yilin Zhang
Ziyu Guan
Ziyu Guan
Wei Zhao
Xiaofei He
Murat Sensoy
NoLaEDL
337
12
0
18 Apr 2024
Hyper Evidential Deep Learning to Quantify Composite Classification
  Uncertainty
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Changbin Li
Kangshuo Li
Yuzhe Ou
Lance M. Kaplan
A. Jøsang
Jin-Hee Cho
Dong Hyun. Jeong
Feng Chen
UQCVBDLEDL
201
6
0
17 Apr 2024
Awareness of uncertainty in classification using a multivariate model
  and multi-views
Awareness of uncertainty in classification using a multivariate model and multi-views
Alexey Kornaev
E. Kornaeva
Oleg Ivanov
Ilya Pershin
Danis Alukaev
UQCVEDL
189
1
0
16 Apr 2024
EPL: Evidential Prototype Learning for Semi-supervised Medical Image
  Segmentation
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He
EDL
303
3
0
09 Apr 2024
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