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Evidential Deep Learning to Quantify Classification Uncertainty
v1v2v3 (latest)

Evidential Deep Learning to Quantify Classification Uncertainty

5 June 2018
Murat Sensoy
Lance M. Kaplan
M. Kandemir
    OODUQCVEDLBDL
ArXiv (abs)PDFHTML

Papers citing "Evidential Deep Learning to Quantify Classification Uncertainty"

50 / 574 papers shown
Title
Open Set Face Forgery Detection via Dual-Level Evidence Collection
Open Set Face Forgery Detection via Dual-Level Evidence Collection
Zhongyi Cai
Bryce Gernon
Wentao Bao
Y. Li
Matthew Wright
Yu Kong
CVBM
155
0
0
03 Dec 2025
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
Xiang Xu
Ao Liang
Youquan Liu
Linfeng Li
Lingdong Kong
Ziwei Liu
Qingshan Liu
104
1
0
02 Dec 2025
TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection
TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection
Pirzada Suhail
Rehna Afroz
Amit Sethi
OODD
232
0
0
28 Nov 2025
Structure-Aware Prototype Guided Trusted Multi-View Classification
Structure-Aware Prototype Guided Trusted Multi-View Classification
Haojian Huang
Jiahao Shi
Zhe Liu
Harold Haodong Chen
Han Fang
Hao Sun
Zhongjiang He
217
0
0
26 Nov 2025
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
Koffi Ismael Ouattara
Ioannis Krontiris
Theo Dimitrakos
Dennis Eisermann
Frank Kargl
Frank Kargl
203
0
0
25 Nov 2025
PI-NAIM: Path-Integrated Neural Adaptive Imputation Model
PI-NAIM: Path-Integrated Neural Adaptive Imputation Model
Afifa Khaled
Ebrahim Hamid Sumiea
76
0
0
14 Nov 2025
Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification
Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification
Muzhou Yang
Wuzhou Quan
Mingqiang Wei
120
0
0
13 Nov 2025
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
Zhengtao Zou
Ya Gao
Jiarui Guan
Bin Li
Pekka Marttinen
119
0
0
13 Nov 2025
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
Tai Hoang
Alessandro Trenta
Alessio Gravina
Niklas Freymuth
P. Becker
D. Bacciu
Gerhard Neumann
AI4CE
117
0
0
11 Nov 2025
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization
Temporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
156
0
0
06 Nov 2025
The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity
The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity
Tim Tomov
Dominik Fuchsgruber
Tom Wollschlager
Stephan Günnemann
140
0
0
06 Nov 2025
Distillation-Accelerated Uncertainty Modeling for Multi-Objective RTA Interception
Distillation-Accelerated Uncertainty Modeling for Multi-Objective RTA Interception
Gaoxiang Zhao
Ruina Qiu
Pengpeng Zhao
Rongjin Wang
Zhangang Lin
Xiaoqiang Wang
68
0
0
05 Nov 2025
Who Can We Trust? Scope-Aware Video Moment Retrieval with Multi-Agent Conflict
Who Can We Trust? Scope-Aware Video Moment Retrieval with Multi-Agent Conflict
Chaochen Wu
Guan Luo
Meiyun Zuo
Zhitao Fan
104
0
0
01 Nov 2025
Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
Jophy Lin
UQCV
333
0
0
29 Oct 2025
FruitProm: Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
FruitProm: Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
Sidharth Rai
Rahul Harsha Cheppally
Benjamin Vail
Keziban Yalçın Dokumacı
Ajay Sharda
113
0
0
28 Oct 2025
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
286
0
0
26 Oct 2025
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
Tobias Fuchs
Nadja Klein
112
0
0
24 Oct 2025
Weak-to-Strong Generalization under Distribution Shifts
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon
Jan Sobotka
Suhwan Choi
Maria Brbić
OOD
188
0
0
24 Oct 2025
Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
Haobin Li
Yijie Lin
Peng Hu
M. Yang
Xi Peng
116
0
0
21 Oct 2025
Uncertainty Estimation by Flexible Evidential Deep Learning
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon
Heeyoung Kim
OODDUQCVBDLEDL
264
0
0
21 Oct 2025
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
Firas Gabetni
Giuseppe Curci
Andrea Pilzer
Subhankar Roy
Elisa Ricci
Gianni Franchi
116
1
0
21 Oct 2025
Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models
Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models
Shihao Ji
Zihui Song
Jiajie Huang
HILM
116
0
0
14 Oct 2025
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
Zhen Yang
Yansong Ma
Lei Chen
122
0
0
10 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
189
0
0
10 Oct 2025
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
Peter Van Katwyk
Karianne J. Bergen
171
0
0
06 Oct 2025
Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model
Guided Uncertainty Learning Using a Post-Hoc Evidential Meta-Model
Charmaine Barker
Daniel Bethell
Simos Gerasimou
UQCV
171
0
0
29 Sep 2025
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
Hai Siong Tan
BDL
140
1
0
29 Sep 2025
Ultra-short-term solar power forecasting by deep learning and data reconstruction
Ultra-short-term solar power forecasting by deep learning and data reconstruction
Jinbao Wang
Jun Liu
Shiliang Zhang
Xuehui Ma
56
1
0
21 Sep 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
431
0
0
21 Sep 2025
MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image
MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image
Leiyu Wang
Biao Jin
Feng Huang
Liqiong Chen
Zhengyong Wang
X. He
Honggang Chen
ObjD
161
0
0
21 Sep 2025
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
Damola Agbelese
Krishna Chaitanya
Pushpak Pati
Chaitanya Parmar
Pooya Mobadersany
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Molly V. Lucas
Tommaso Mansi
Oana Gabriela Cula
Pablo F. Damasceno
K. Standish
96
0
0
16 Sep 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Zhizhong Zhao
Ke Chen
UQCV
261
0
0
16 Sep 2025
E2-BKI: Evidential Ellipsoidal Bayesian Kernel Inference for Uncertainty-aware Gaussian Semantic Mapping
E2-BKI: Evidential Ellipsoidal Bayesian Kernel Inference for Uncertainty-aware Gaussian Semantic Mapping
Junyoung Kim
Minsik Jeon
Jihong Min
K. Kwak
Junwon Seo
84
1
0
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Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics
Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics
A. Gu
Michael Y. Tsang
H. Vaseli
Purang Abolmaesumi
T. Tsang
UQCV
120
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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
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202
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Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
Jingya Cheng
Jiazi Tian
Federica Spoto
Alaleh Azhir
Daniel Mork
Hossein Estiri
84
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Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2025
Hyeonseok Kim
Byeongkeun Kang
Yeejin Lee
3DPC
132
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Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Federico Cerutti
106
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Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
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Claes Lundström
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Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
Markus Oehri
Giulia Conti
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Alexandre Rossi
Laia Serra
Adrian Parody
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Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
Amirhossein Nazeri
Wael Hafez
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PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence
PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence
Zheng Li
Yanming Guo
WenZhe Liu
Xueyi Zhang
Zhaoyun Ding
Long Xu
Mingrui Lao
113
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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
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259
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Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
Xin Du
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W. Duivesteijn
Mykola Pechenizkiy
100
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TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
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Ismail Lamaakal
Chaymae Yahyati
Khalid El Makkaoui
Ibrahim Ouahbi
Yassine Maleh
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SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
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Chaymae Yahyati
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Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
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Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
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Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths
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