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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

Scene Synthesis via Uncertainty-Driven Attribute Synchronization ICCV 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021
Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021
Uncertainty-aware Binary Neural Networks IJCAI 2021
Pixel-Wise Anomaly Detection in Complex Driving Scenes CVPR 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021
Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions EMNLP 2021
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression CVPR 2021
A Unified Framework for Random Forest Prediction Error Estimation JMLR 2021
Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021
GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization AAAI 2021
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Robustness via Uncertainty-aware Cycle Consistency NIPS 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CORL 2021
Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021