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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 / 572 papers shown
Title
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
48
0
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
196
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
181
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
191
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
68
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
108
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
85
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
109
0
0
11 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
124
0
0
06 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
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
60
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
92
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
321
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
101
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
262
0
0
26 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
184
0
0
24 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
96
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
104
0
0
21 Oct 2025
Uncertainty Estimation by Flexible Evidential Deep Learning
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon
Heeyoung Kim
OODDUQCVBDLEDL
244
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
112
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
92
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
153
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
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
Hai Siong Tan
BDL
112
1
0
29 Sep 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
163
0
0
29 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
383
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
121
0
0
21 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
52
1
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
92
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
253
0
0
16 Sep 2025
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
0
0
15 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
80
1
0
15 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
178
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0
11 Sep 2025
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
60
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0
10 Sep 2025
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
116
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0
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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
86
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Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
Misgina Tsighe Hagos
Claes Lundström
122
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Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
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Markus Oehri
Giulia Conti
Kaviraj Pather
Alexandre Rossi
Laia Serra
Adrian Parody
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Aviaja Petersen
Arben Krasniqi
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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
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Mingrui Lao
93
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Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
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Xiaoyang Zhong
Lu Wang
Jingwen Hou
Yuemei Luo
Jiebin Yan
Yuming Fang
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239
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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
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W. Duivesteijn
Mykola Pechenizkiy
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SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
Ismail Lamaakal
Chaymae Yahyati
Khalid El Makkaoui
Ibrahim Ouahbi
Yassine Maleh
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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
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Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
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Cai Xu
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PEdger++: Practical Edge Detection via Assembling Cross Information
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