dirichlet distribution

ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 2026 Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty CVPR 2026 Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation CVPR 2026 From Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation CVPR 2026 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning CVPR 2026 A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025 Dirichlet-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration ICCV 2025 Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching ICLR 2025 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025 Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025 Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning ICLR 2024 Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024 Linear Opinion Pooling for Uncertainty Quantification on Graphs UAI 2024 R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning ICLR 2024 Transductive Zero-Shot and Few-Shot CLIP CVPR 2024 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023 Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting UAI 2023 Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023 Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023 Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023 A Consistent and Differentiable Lp Canonical Calibration Error Estimator NeurIPS 2022 Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022