evidence theory

Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026 Enhancing Multi-View Classification Reliability with Adaptive Rejection AAAI 2025 EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory CVPR 2025 Hierarchical Classification Auxiliary Network for Time Series Forecasting AAAI 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory CVPR 2024 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Reliable Conflictive Multi-View Learning AAAI 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval NeurIPS 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Safe Multi-View Deep Classification AAAI 2023 Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023 Trusted Multi-View Deep Learning with Opinion Aggregation AAAI 2022 Using hierarchies to efficiently combine evidence with Dempster’s rule of combination UAI 2022 Handling Uncertainty in Recommender Systems under the Belief Function Theory IJCAI 2018 Plato's Cave in the Dempster-Shafer land--the Link between Pignistic and Plausibility Transformations IJCAI 2017