Uncertainty Quantification
98 papers
Papers per year
2
2
6
8
5
11
10
14
14
26
'20
'25
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