Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Changbin, Li, Kangshuo, Ou, Yuzhe, Kaplan, Lance M., Jøsang, Audun, Cho, Jin-Hee, Jeong, Dong Hyun, Chen, Feng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization
by: Zhang, Qi, et al.
Published: (2025)
by: Zhang, Qi, et al.
Published: (2025)
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
by: Zhang, Qi, et al.
Published: (2026)
by: Zhang, Qi, et al.
Published: (2026)
Guest Editors' Introduction. Trust and Trust Management
by: Audun Jøsang
Published: (2010)
by: Audun Jøsang
Published: (2010)
Evidential Uncertainty Probes for Graph Neural Networks
by: Yu, Linlin, et al.
Published: (2025)
by: Yu, Linlin, et al.
Published: (2025)
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding
by: Ma, Kaijing, et al.
Published: (2024)
by: Ma, Kaijing, et al.
Published: (2024)
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
by: Yu, Linlin, et al.
Published: (2024)
by: Yu, Linlin, et al.
Published: (2024)
UAU-Net: Uncertainty-aware Representation Learning and Evidential Classification for Facial Action Unit Detection
by: Li, Yuze, et al.
Published: (2026)
by: Li, Yuze, et al.
Published: (2026)
Uncertainty-Aware Pedestrian Attribute Recognition via Evidential Deep Learning
by: Lou, Zhuofan, et al.
Published: (2026)
by: Lou, Zhuofan, et al.
Published: (2026)
Bayesian Evidential Learning for Few-Shot Classification
by: Linghu, Xiongkun, et al.
Published: (2022)
by: Linghu, Xiongkun, et al.
Published: (2022)
Mutual Evidential Deep Learning for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)
by: He, Yuanpeng, et al.
Published: (2025)
Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)
by: Li, Yuzhu, et al.
Published: (2025)
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation
by: Tan, Hai Siong, et al.
Published: (2024)
by: Tan, Hai Siong, et al.
Published: (2024)
Evidential Deep Partial Multi-View Classification With Discount Fusion
by: Huang, Haojian, et al.
Published: (2024)
by: Huang, Haojian, et al.
Published: (2024)
Multiview Manifold Evidential Fusion for PolSAR Image Classification
by: Shi, Junfei, et al.
Published: (2025)
by: Shi, Junfei, et al.
Published: (2025)
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
by: Yang, Zhen, et al.
Published: (2025)
by: Yang, Zhen, et al.
Published: (2025)
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2024)
by: He, Yuanpeng, et al.
Published: (2024)
Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction
by: Karimi, Hamed, et al.
Published: (2024)
by: Karimi, Hamed, et al.
Published: (2024)
Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
by: Li, Jun, et al.
Published: (2026)
by: Li, Jun, et al.
Published: (2026)
Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
by: Chodavarapu, Ranjith
Published: (2026)
by: Chodavarapu, Ranjith
Published: (2026)
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning
by: Paat, Helbert, et al.
Published: (2023)
by: Paat, Helbert, et al.
Published: (2023)
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
by: Huang, Haojian, et al.
Published: (2024)
by: Huang, Haojian, et al.
Published: (2024)
Uncertainty Estimation for 3D Object Detection via Evidential Learning
by: Durasov, Nikita, et al.
Published: (2024)
by: Durasov, Nikita, et al.
Published: (2024)
Evidential Federated Learning for Skin Lesion Image Classification
by: Hendrix, Rutger, et al.
Published: (2024)
by: Hendrix, Rutger, et al.
Published: (2024)
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
by: Kim, Dong-Hee, et al.
Published: (2024)
by: Kim, Dong-Hee, et al.
Published: (2024)
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
by: Yu, Yang, et al.
Published: (2023)
by: Yu, Yang, et al.
Published: (2023)
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
by: Wasif, Dawood, et al.
Published: (2025)
by: Wasif, Dawood, et al.
Published: (2025)
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
by: Karimi, Hamed, et al.
Published: (2023)
by: Karimi, Hamed, et al.
Published: (2023)
Generalized Evidential Deep Learning: From a Bayesian Perspective
by: Liu, Yuanye, et al.
Published: (2026)
by: Liu, Yuanye, et al.
Published: (2026)
Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty
by: Brosch, Arnold, et al.
Published: (2025)
by: Brosch, Arnold, et al.
Published: (2025)
Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
by: Lee, Junhyeok, et al.
Published: (2026)
by: Lee, Junhyeok, et al.
Published: (2026)
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
by: Shang, Jiang, et al.
Published: (2025)
by: Shang, Jiang, et al.
Published: (2025)
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning
by: Kang, Ju Yeon, et al.
Published: (2025)
by: Kang, Ju Yeon, et al.
Published: (2025)
Co-Evidential Fusion with Information Volume for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)
by: He, Yuanpeng, et al.
Published: (2025)
Measuring Aleatoric and Epistemic Uncertainty in LLMs: Empirical Evaluation on ID and OOD QA Tasks
by: Wang, Kevin, et al.
Published: (2025)
by: Wang, Kevin, et al.
Published: (2025)
Uncertainty Estimation by Flexible Evidential Deep Learning
by: Yoon, Taeseong, et al.
Published: (2025)
by: Yoon, Taeseong, et al.
Published: (2025)
Quantifying Task Priority for Multi-Task Optimization
by: Jeong, Wooseong, et al.
Published: (2024)
by: Jeong, Wooseong, et al.
Published: (2024)
Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval
by: Huang, Haojian, et al.
Published: (2025)
by: Huang, Haojian, et al.
Published: (2025)
Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
by: Zou, Ke, et al.
Published: (2023)
by: Zou, Ke, et al.
Published: (2023)
4DR P2T: 4D Radar Tensor Synthesis with Point Clouds
by: Jung, Woo-Jin, et al.
Published: (2025)
by: Jung, Woo-Jin, et al.
Published: (2025)
Similar Items
-
Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization
by: Zhang, Qi, et al.
Published: (2025) -
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization
by: Zhang, Qi, et al.
Published: (2024) -
X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
by: Zhang, Qi, et al.
Published: (2026) -
Guest Editors' Introduction. Trust and Trust Management
by: Audun Jøsang
Published: (2010) -
Evidential Uncertainty Probes for Graph Neural Networks
by: Yu, Linlin, et al.
Published: (2025)