uncertainty quantification

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel ICLR 2020 Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NeurIPS 2020 Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification NeurIPS 2020 Robust Regression for Safe Exploration in Control L4DC 2020 Sampling-Free Learning of Bayesian Quantized Neural Networks ICLR 2020 Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NeurIPS 2020 Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020 Stochastic Deep Gaussian Processes over Graphs NeurIPS 2020 Temporal Logics Over Finite Traces with Uncertainty AAAI 2020 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability AAAI 2020 Towards neural networks that provably know when they don't know ICLR 2020 Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NeurIPS 2020 UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders CVPR 2020 Uncertain Natural Language Inference ACL 2020 Uncertainty and Traffic-Aware Active Learning for Semantic Parsing EMNLP 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020 Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020 Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 Uncertainty-Aware Lookahead Factor Models for Quantitative Investing ICML 2020 Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus Interspeech 2020