conftrace_

uncertainty quantification

1,649 papers

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UQ

Co-occurring keywords · papers mentioning both

bayesian inference (170) conformal prediction (167) large language model (152) uncertainty estimation (151) gaussian process (127) variational inference (103) out-of-distribution detection (101) epistemic uncertainty (96) bayesian neural network (74) aleatoric uncertainty (73)

Papers

Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Estimating Epistemic and Aleatoric Uncertainty with a Single Model NeurIPS 2024 Evaluating language models as risk scores NeurIPS 2024 Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception CVPR 2024 Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NeurIPS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 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 Fast Fourier Bayesian Quadrature AISTATS 2024 Fast Value Tracking for Deep Reinforcement Learning ICLR 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM NeurIPS 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024 Function-space Parameterization of Neural Networks for Sequential Learning ICLR 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Graph-based Uncertainty Metrics for Long-form Language Model Generations NeurIPS 2024 Graphical Multioutput Gaussian Process with Attention ICLR 2024 Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models SemEval 2024 Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024