conftrace_

evidential learning

25 papers

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Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) out-of-distribution detection (617) epistemic uncertainty (160) active learning (1301) evidential deep learning (23) aleatoric uncertainty (109) multi-view learning (391) deep learning (2118) trajectory prediction (489)

Papers

Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification AAAI 2026
Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing AAAI 2026
Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment AAAI 2026
FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning AAAI 2025
Evidential Knowledge Distillation ICCV 2025
You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives COLING 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025
Uncertainty Aware Interest Point Detection and Description WACV 2025
Multi-view Evidential Learning-based Medical Image Segmentation AAAI 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NIPS 2024
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler NIPS 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
Uncertainty Regularized Evidential Regression AAAI 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Evidential Conditional Neural Processes AAAI 2023
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty AAAI 2023
Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization CVPR 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NIPS 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction CORL 2022
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018