| Dirac Delta Regression: Conditional Density Estimation with Clinical Trials | May 24, 2019 | Causal InferenceDensity Estimation | CodeCode Available | 0 | 5 |
| Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network | Jun 14, 2018 | regression | CodeCode Available | 0 | 5 |
| Direct side information learning for zero-shot regression | Feb 2, 2024 | global-optimizationimage-classification | CodeCode Available | 0 | 5 |
| Dimensionality reduction, regularization, and generalization in overparameterized regressions | Nov 23, 2020 | Data PoisoningDimensionality Reduction | CodeCode Available | 0 | 5 |
| Differentially Private Post-Processing for Fair Regression | May 7, 2024 | Density EstimationFairness | CodeCode Available | 0 | 5 |
| Diffusion Counterfactuals for Image Regressors | Mar 26, 2025 | counterfactualDenoising | CodeCode Available | 0 | 5 |
| Dimension Reduction and MARS | Feb 11, 2023 | Dimensionality Reductionregression | CodeCode Available | 0 | 5 |
| Distilled Neural Networks for Efficient Learning to Rank | Feb 22, 2022 | CPUInformation Retrieval | CodeCode Available | 0 | 5 |
| Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts | Jul 2, 2024 | Decision Makingquantile regression | CodeCode Available | 0 | 5 |
| Adaptive Conditional Quantile Neural Processes | May 30, 2023 | Image InpaintingMeta-Learning | CodeCode Available | 0 | 5 |