Uncertainty Quantification

Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 Uncertainty-Aware Score Distribution Learning for Action Quality Assessment CVPR 2020 Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020 Uncertainty-Aware Semantic Augmentation for Neural Machine Translation EMNLP 2020 Uncertainty Based Camera Model Selection CVPR 2020 Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020 Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020 Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery AISTATS 2020 Uncertainty Quantification for Inferring Hawkes Networks NeurIPS 2020 Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019 AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NeurIPS 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Calibrating Deep Convolutional Gaussian Processes AISTATS 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 Conformalized Quantile Regression NeurIPS 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019