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uncertainty quantification

1365 papers

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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

Azimuth: Systematic Error Analysis for Text Classification EMNLP 2022
Stop Measuring Calibration When Humans Disagree EMNLP 2022
Semantic uncertainty intervals for disentangled latent spaces NIPS 2022
Transformer-based out-of-distribution detection for clinically safe segmentation MIDL 2022
Segmentation-Consistent Probabilistic Lesion Counting MIDL 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
Contour-Hugging Heatmaps for Landmark Detection CVPR 2022
Uncertainty-Aware Deep Multi-View Photometric Stereo CVPR 2022
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation CVPR 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator NIPS 2022
Autoinverse: Uncertainty Aware Inversion of Neural Networks NIPS 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation CVPR 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NIPS 2022
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation AAAI 2022
Learning interacting dynamical systems with latent Gaussian process ODEs NIPS 2022
What Makes Graph Neural Networks Miscalibrated? NIPS 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NIPS 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NIPS 2022
On the Utility of Prediction Sets in Human-AI Teams IJCAI 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach NIPS 2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NIPS 2022
Evidential Reasoning and Learning: a Survey IJCAI 2022