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dirichlet distribution

46 papers

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Co-occurring keywords

uncertainty quantification (1393) uncertainty estimation (648) out-of-distribution detection (617) bayesian inference (1907) variational inference (2069) latent variable (541) variational autoencoder (1288) probabilistic modeling (852) tensor decomposition (375) topic model (290)

Papers

ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 2026
GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026
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-Constrained Variational Codebook Learning for Temporally Coherent Video Face Restoration ICCV 2025
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024
Transductive Zero-Shot and Few-Shot CLIP CVPR 2024
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion AAAI 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting UAI 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering IJCAI 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator NIPS 2022
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets NIPS 2021
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? ICML 2021
Unsupervised Opinion Summarization with Content Planning AAAI 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
Instance-Dependent Partial Label Learning NIPS 2021
Realistic evaluation of transductive few-shot learning NIPS 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NIPS 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data NIPS 2020