| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 | 5 |
| BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis | Apr 7, 2020 | 3D Medical Imaging SegmentationAutomatic Machine Learning Model Selection | CodeCode Available | 1 | 5 |
| Learning Monocular Dense Depth from Events | Oct 16, 2020 | Depth EstimationDepth Prediction | CodeCode Available | 1 | 5 |
| Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction | Aug 23, 2021 | Deep LearningPrediction | CodeCode Available | 1 | 5 |
| Transductive Decoupled Variational Inference for Few-Shot Classification | Aug 22, 2022 | ClassificationFew-Shot Image Classification | CodeCode Available | 1 | 5 |
| A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography | Oct 30, 2022 | ObjectProbabilistic Deep Learning | CodeCode Available | 0 | 5 |
| Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift | Jun 6, 2019 | Probabilistic Deep Learning | CodeCode Available | 0 | 5 |
| Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition | Feb 2, 2023 | BenchmarkingDeep Learning | CodeCode Available | 0 | 5 |
| Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks | Feb 10, 2025 | NavigateProbabilistic Deep Learning | CodeCode Available | 0 | 5 |
| Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks | Dec 16, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 0 | 5 |
