conftrace_

evidential deep learning

23 papers

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Also known as

EDL

Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) out-of-distribution detection (617) contrastive learning (4032) evidence theory (17) open set recognition (32) predictive uncertainty (79) subjective logic (9) evidential learning (25) dirichlet distribution (46)

Papers

Evidential Retriever: Uncertainty-Aware Medical Image Retrieval MIDL 2026
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
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NIPS 2024
Trusted Multi-view Learning with Label Noise IJCAI 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning AAAI 2024
Towards Evidential and Class Separable Open Set Object Detection AAAI 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024
Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NIPS 2024
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty AAAI 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice ICML 2023
Open Set Action Recognition via Multi-Label Evidential Learning CVPR 2023
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation AAAI 2022
OpenTAL: Towards Open Set Temporal Action Localization CVPR 2022
Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022
Evidential Deep Learning for Open Set Action Recognition ICCV 2021
Misclassification Risk and Uncertainty Quantification in Deep Classifiers WACV 2021
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018