| Gaussian Process Regression With Interpretable Sample-Wise Feature Weights | Dec 10, 2021 | Explainable artificial intelligenceGaussian Processes | CodeCode Available | 1 | 5 |
| BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View | Sep 5, 2023 | 3D Single Object TrackingAutonomous Driving | CodeCode Available | 1 | 5 |
| Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems | Aug 27, 2018 | Multi-Task Learningquantile regression | CodeCode Available | 1 | 5 |
| GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator | Feb 24, 2021 | 6D Pose Estimation6D Pose Estimation using RGB | CodeCode Available | 1 | 5 |
| Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models | Nov 8, 2021 | regression | CodeCode Available | 1 | 5 |
| BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation | May 7, 2022 | 6D Pose EstimationBenchmarking | CodeCode Available | 1 | 5 |
| Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection | Aug 23, 2021 | Anomaly DetectionAttribute | CodeCode Available | 1 | 5 |
| Generative Principal Component Regression via Variational Inference | Sep 3, 2024 | regressionVariational Inference | CodeCode Available | 1 | 5 |
| A Large-Scale Study of Probabilistic Calibration in Neural Network Regression | Jun 5, 2023 | AttributeConformal Prediction | CodeCode Available | 1 | 5 |
| Contemporary Symbolic Regression Methods and their Relative Performance | Jul 29, 2021 | Benchmarkingparameter estimation | CodeCode Available | 1 | 5 |
