| Neighborhood and Graph Constructions using Non-Negative Kernel Regression | Oct 21, 2019 | graph constructionGraph Learning | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Adapting multi-armed bandits policies to contextual bandits scenarios | Nov 11, 2018 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Deep Multimodal Transfer-Learned Regression in Data-Poor Domains | Jun 16, 2020 | Multi-target regressionregression | CodeCode Available | 0 | 5 |
| Differentiable Optimization of Similarity Scores Between Models and Brains | Jul 9, 2024 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Diffusion Counterfactuals for Image Regressors | Mar 26, 2025 | counterfactualDenoising | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks | Oct 1, 2019 | 3D geometryLocal Distortion | CodeCode Available | 0 | 5 |
| Deep Neural Networks for Estimation and Inference | Sep 26, 2018 | Marketingregression | CodeCode Available | 0 | 5 |
| Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data | Apr 24, 2018 | BIG-bench Machine Learningfeature selection | CodeCode Available | 0 | 5 |
| Coverage Error Optimal Confidence Intervals for Local Polynomial Regression | Aug 4, 2018 | regression | CodeCode Available | 0 | 5 |
| Determination of toxic comments and unintended model bias minimization using Deep learning approach | Nov 8, 2023 | regression | CodeCode Available | 0 | 5 |
| Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach | May 28, 2025 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| A step towards understanding why classification helps regression | Aug 21, 2023 | Age EstimationClassification | CodeCode Available | 0 | 5 |
| Deterministic error bounds for kernel-based learning techniques under bounded noise | Aug 10, 2020 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Autofocused oracles for model-based design | Jun 14, 2020 | modelregression | CodeCode Available | 0 | 5 |
| A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning | May 9, 2021 | Image Captioningregression | CodeCode Available | 0 | 5 |
| Determinantal Point Processes for Coresets | Mar 23, 2018 | Point Processesregression | CodeCode Available | 0 | 5 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures | Feb 23, 2025 | regressionseverity prediction | CodeCode Available | 0 | 5 |
| DeepPose: Human Pose Estimation via Deep Neural Networks | Dec 17, 2013 | Pose Estimationregression | CodeCode Available | 0 | 5 |
| Covariate balancing using the integral probability metric for causal inference | May 23, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Covariance regression with random forests | Sep 16, 2022 | Epidemiologyregression | CodeCode Available | 0 | 5 |
| Dependent relevance determination for smooth and structured sparse regression | Nov 28, 2017 | regression | CodeCode Available | 0 | 5 |
