evidential deep learning

Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty CVPR 2026 Evidential Retriever: Uncertainty-Aware Medical Image Retrieval MIDL 2026 Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation CVPR 2026 Calibrating LLMs with Information-Theoretic Evidential Deep Learning ICLR 2025 Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching ICLR 2025 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training EMNLP 2025 Label Calibration in Source Free Domain Adaptation WACV 2025 Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function ICLR 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning AAAI 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS 2024 Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning UAI 2024 Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 2024 Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? ICML 2024 R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ICLR 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024 Towards Evidential and Class Separable Open Set Object Detection AAAI 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 Uncertainty Estimation by Density Aware Evidential Deep Learning ICML 2024 Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation ICLR 2023 E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023 Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation ICLR 2023