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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

On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020
Actively Learning Gaussian Process Dynamics L4DC 2020
Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction CVPR 2020
Probabilistic Regression for Visual Tracking CVPR 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020
Understanding Neural Abstractive Summarization Models via Uncertainty EMNLP 2020
Uncertainty and Traffic-Aware Active Learning for Semantic Parsing EMNLP 2020
Estimating predictive uncertainty for rumour verification models ACL 2020
Calibrating Structured Output Predictors for Natural Language Processing ACL 2020
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability AAAI 2020
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation NIPS 2020
Gradient-EM Bayesian Meta-Learning NIPS 2020
Deep Evidential Regression NIPS 2020
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020
Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition INTERSPEECH 2020
Bootstrapping neural processes NIPS 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NIPS 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020