| Distance Estimation Methods for a Practical Macroscale Molecular Communication System | Sep 27, 2019 | parameter estimationregression | CodeCode Available | 0 | 5 |
| A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based Brain Age Prediction | May 24, 2024 | regression | CodeCode Available | 0 | 5 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos | May 3, 2022 | regression | CodeCode Available | 0 | 5 |
| Distributed Function Minimization in Apache Spark | Sep 17, 2019 | General Classificationregression | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | Aug 17, 2023 | Age EstimationDepth Aleatoric Uncertainty Estimation | CodeCode Available | 0 | 5 |
| Discrete-Constrained Regression for Local Counting Models | Jul 20, 2022 | Age EstimationClassification | CodeCode Available | 0 | 5 |
| Discovery of sparse hysteresis models for piezoelectric materials | Feb 10, 2023 | regression | CodeCode Available | 0 | 5 |
| Direct Regression of Distortion Field from a Single Fingerprint Image | Apr 26, 2024 | regression | CodeCode Available | 0 | 5 |
| Direct side information learning for zero-shot regression | Feb 2, 2024 | global-optimizationimage-classification | CodeCode Available | 0 | 5 |
| Distance approximation to support customer selection in vehicle routing problems | Apr 7, 2022 | regressionTraveling Salesman Problem | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging | Nov 2, 2021 | Bayesian InferenceEEG | CodeCode Available | 0 | 5 |
| Adaptive Conditional Quantile Neural Processes | May 30, 2023 | Image InpaintingMeta-Learning | CodeCode Available | 0 | 5 |
| Diffusion Counterfactuals for Image Regressors | Mar 26, 2025 | counterfactualDenoising | CodeCode Available | 0 | 5 |
| Dimensionality reduction, regularization, and generalization in overparameterized regressions | Nov 23, 2020 | Data PoisoningDimensionality Reduction | CodeCode Available | 0 | 5 |
| Differentially Private Image Classification from Features | Nov 24, 2022 | Classificationimage-classification | CodeCode Available | 0 | 5 |
| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Adaptive Concentration of Regression Trees, with Application to Random Forests | Mar 22, 2015 | Model Selectionregression | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Post-Processing for Fair Regression | May 7, 2024 | Density EstimationFairness | CodeCode Available | 0 | 5 |
| Dimension Reduction and MARS | Feb 11, 2023 | Dimensionality Reductionregression | CodeCode Available | 0 | 5 |
