| Bayesian Evidential Learning for Few-Shot Classification | Jul 19, 2022 | ClassificationMetric Learning | —Unverified | 0 |
| Distributed Safe Learning and Planning for Multi-robot Systems | Jul 16, 2022 | Active LearningCollision Avoidance | —Unverified | 0 |
| Uncertainty quantification for predictions of atomistic neural networks | Jul 14, 2022 | Active LearningProperty Prediction | CodeCode Available | 0 |
| Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification | Jul 13, 2022 | BenchmarkingLabel Error Detection | CodeCode Available | 0 |
| What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization | Jul 11, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design | Jul 11, 2022 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks | Jul 9, 2022 | Data AugmentationUncertainty Quantification | CodeCode Available | 0 |
| Physics-Informed Deep Neural Operator Networks | Jul 8, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction | Jul 8, 2022 | Optical Flow EstimationUncertainty Quantification | CodeCode Available | 0 |
| Chilled Sampling for Uncertainty Quantification: A Motivation From A Meteorological Inverse Problem | Jul 7, 2022 | SpecificityUncertainty Quantification | —Unverified | 0 |
| Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks | Jul 7, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| PAC Prediction Sets for Meta-Learning | Jul 6, 2022 | Autonomous VehiclesMeta-Learning | —Unverified | 0 |
| Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets | Jul 5, 2022 | Conformal PredictionDeep Learning | CodeCode Available | 0 |
| Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection | Jul 4, 2022 | object-detectionObject Detection | CodeCode Available | 2 |
| Uncertainty Quantification for Deep Unrolling-Based Computational Imaging | Jul 2, 2022 | Image ReconstructionRolling Shutter Correction | —Unverified | 0 |
| Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models | Jun 27, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection | Jun 26, 2022 | BIG-bench Machine LearningOut-of-Distribution Detection | —Unverified | 0 |
| Sequential image recovery using joint hierarchical Bayesian learning | Jun 25, 2022 | DeblurringUncertainty Quantification | —Unverified | 0 |
| Three Applications of Conformal Prediction for Rating Breast Density in Mammography | Jun 23, 2022 | Conformal PredictionDeep Learning | —Unverified | 0 |
| Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management | Jun 21, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 1 |
| Uncertainty Quantification for Competency Assessment of Autonomous Agents | Jun 21, 2022 | Uncertainty Quantification | —Unverified | 0 |
| TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification | Jun 19, 2022 | Generative Adversarial NetworkState Estimation | CodeCode Available | 1 |
| Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks | Jun 19, 2022 | Generative Adversarial NetworkState Estimation | —Unverified | 0 |
| Nonparametric Multi-shape Modeling with Uncertainty Quantification | Jun 18, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification | Jun 17, 2022 | GPRUncertainty Quantification | —Unverified | 0 |
| Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift | Jun 17, 2022 | Bayesian InferenceHandwriting Recognition | —Unverified | 0 |
| Federated Data Analytics: A Study on Linear Models | Jun 15, 2022 | Uncertainty QuantificationVariable Selection | —Unverified | 0 |
| Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading | Jun 15, 2022 | Deep LearningPrediction | —Unverified | 0 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Epistemic Deep Learning | Jun 15, 2022 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Conformal Off-policy Prediction | Jun 14, 2022 | Conformal PredictionOff-policy evaluation | CodeCode Available | 0 |
| Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks | Jun 12, 2022 | regressionUncertainty Quantification | —Unverified | 0 |
| Evaluating Aleatoric Uncertainty via Conditional Generative Models | Jun 9, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Benchmarking Bayesian neural networks and evaluation metrics for regression tasks | Jun 8, 2022 | BenchmarkingOpen-Ended Question Answering | —Unverified | 0 |
| FedPop: A Bayesian Approach for Personalised Federated Learning | Jun 7, 2022 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees | Jun 6, 2022 | Bayesian InferenceModel Predictive Control | —Unverified | 0 |
| Robust Calibration with Multi-domain Temperature Scaling | Jun 6, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Masked Bayesian Neural Networks : Computation and Optimality | Jun 2, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Dynamic Linear Transformer for 3D Biomedical Image Segmentation | Jun 1, 2022 | 3D Medical Imaging SegmentationDecoder | CodeCode Available | 0 |
| Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics | May 31, 2022 | Generative Adversarial NetworkUncertainty Quantification | CodeCode Available | 0 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems | May 31, 2022 | PredictionUncertainty Quantification | CodeCode Available | 1 |
| Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization | May 31, 2022 | scoring ruleUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning | May 30, 2022 | Neural Architecture SearchSurvey | —Unverified | 0 |
| Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR) | May 29, 2022 | Conformal PredictionDensity Estimation | CodeCode Available | 0 |
| Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model | May 28, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging | May 27, 2022 | Multi-Task Learningregression | —Unverified | 0 |
| Deep interpretable ensembles | May 25, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee | May 22, 2022 | Conformal PredictionOutlier Detection | —Unverified | 0 |
