| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 | 5 |
| Learning from Aggregate Observations | Apr 14, 2020 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| Deep Ordinal Regression Network for Monocular Depth Estimation | Jun 6, 2018 | Depth EstimationMonocular Depth Estimation | CodeCode Available | 1 | 5 |
| Extending regionalization algorithms to explore spatial process heterogeneity | Jun 19, 2022 | regression | CodeCode Available | 1 | 5 |
| Learning Proposals for Practical Energy-Based Regression | Oct 22, 2021 | regression | CodeCode Available | 1 | 5 |
| Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery | Jun 21, 2024 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| DANets: Deep Abstract Networks for Tabular Data Classification and Regression | Dec 6, 2021 | regression | CodeCode Available | 1 | 5 |
| Learning to Localize in Unseen Scenes with Relative Pose Regressors | Mar 5, 2023 | regression | CodeCode Available | 1 | 5 |
| Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss | Jun 4, 2024 | quantile regressionregression | CodeCode Available | 1 | 5 |
| Alleviating Over-segmentation Errors by Detecting Action Boundaries | Jul 14, 2020 | Action ClassificationAction Segmentation | CodeCode Available | 1 | 5 |
