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Uncertainty Quantification

Papers

Showing 276300 of 2366 papers

TitleStatusHype
Bayesian Meta-Learning for the Few-Shot Setting via Deep KernelsCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning AlgorithmsCode1
Disentangling Uncertainty in Machine Translation EvaluationCode1
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian ProcessesCode1
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
Distribution-free binary classification: prediction sets, confidence intervals and calibrationCode1
Bayesian graph convolutional neural networks via tempered MCMCCode1
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningCode1
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval GenerationCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
A Bayesian Approach to Online PlanningCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
Evidential Uncertainty Quantification: A Variance-Based PerspectiveCode1
Expert-Supervised Reinforcement Learning for Offline Policy Learning and EvaluationCode1
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium MoleculesCode1
Conformal Inference of Counterfactuals and Individual Treatment EffectsCode1
Federated Conformal Predictors for Distributed Uncertainty QuantificationCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
Decomposing Uncertainty for Large Language Models through Input Clarification EnsemblingCode1
Error-quantified Conformal Inference for Time SeriesCode1
PI3NN: Out-of-distribution-aware prediction intervals from three neural networksCode1
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification0
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