Uncertainty Quantification
805 papers
Papers per year
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1
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4
8
2
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5
13
29
69
54
99
127
172
186
29
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Papers
Label Noise Robustness of Conformal Prediction
JMLR 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification
UAI 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference
NeurIPS 2024
Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models
EACL 2024
Localized Adaptive Risk Control
NeurIPS 2024
LUQ: Long-text Uncertainty Quantification for LLMs
EMNLP 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
ACL 2024
Membership Inference Attack Using Self Influence Functions
WACV 2024
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
EMNLP 2024
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
WACV 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
CVPR 2024
Neural Conditional Probability for Uncertainty Quantification
NeurIPS 2024
Normalizing Flows for Conformal Regression
UAI 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
AAAI 2024
On the Estimation of Image-matching Uncertainty in Visual Place Recognition
CVPR 2024
On the Quantification of Image Reconstruction Uncertainty Without Training Data
WACV 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
NeurIPS 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
NAACL 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NeurIPS 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models
L4DC 2024
Physics-Informed Representation and Learning: Control and Risk Quantification
AAAI 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
AAAI 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024