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uncertainty quantification

1365 papers

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Also known as

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

Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NIPS 2019
Accurate Layerwise Interpretable Competence Estimation NIPS 2019
Computing Full Conformal Prediction Set with Approximate Homotopy NIPS 2019
Subspace Inference for Bayesian Deep Learning UAI 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation UAI 2019
Improving Back-Translation with Uncertainty-based Confidence Estimation IJCNLP 2019
Addressing Failure Prediction by Learning Model Confidence NIPS 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NIPS 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NIPS 2019
Bounding Uncertainty for Active Batch Selection AAAI 2019
Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning UAI 2019
The 35th Uncertainty in Artificial Intelligence Conference: Preface UAI 2019
Ranked Programming IJCAI 2019
Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Distribution calibration for regression ICML 2019
Debiased Bayesian inference for average treatment effects NIPS 2019
Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019
HDI-Forest: Highest Density Interval Regression Forest IJCAI 2019