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Uncertainty Quantification

98 papers

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Papers

Who to Trust? Aggregating Client Predictions in Federated Distillation. UAI 2026 Adversarial Perturbations Improve Generalization of Confidence Prediction in Medical Image Segmentation MIDL 2025 ASR Confidence Estimation using True Class Lexical Similarity Score Interspeech 2025 Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics AISTATS 2025 EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling CVPR 2025 FUSE-MOS: Fusion of Speech Embeddings for MOS Prediction with Uncertainty Quantification Interspeech 2025 General Uncertainty Estimation with Delta Variances AAAI 2025 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025 Legitimate ground-truth-free metrics for deep uncertainty classification scoring AISTATS 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025 Multivariate Probabilistic Assessment of Speech Quality Interspeech 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025 Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty AISTATS 2025 Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning UAI 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024 Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 2024 Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification ACL 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024 Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations UAI 2024 Neural Active Learning Meets the Partial Monitoring Framework UAI 2024 PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024