uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024

Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024

I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token NIPS 2024

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024

Uncertainty quantification and robustification of model-based controllers using conformal prediction L4DC 2024

Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition INTERSPEECH 2024

Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024

Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024

Lightweight Delivery Detection on Doorbell Cameras WACV 2024

Benchmarking Out-of-Distribution Detection in Visual Question Answering WACV 2024

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations EMNLP 2024

Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024

MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024

Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024

Fixing Overconfidence in Dynamic Neural Networks WACV 2024

Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024

Bayesian Semi-structured Subspace Inference AISTATS 2024

Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024

Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024

Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024

Towards Uncertainty-Aware Language Agent ACL 2024

Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024

Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024

Consistent Joint Decision-Making with Heterogeneous Learning Models EACL 2024

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation EACL 2024