| 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 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Differentially Private Post-Processing for Fair Regression | May 7, 2024 | Density EstimationFairness | CodeCode Available | 0 | 5 |
| Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits | Jan 21, 2024 | Multi-Armed Banditsregression | CodeCode Available | 0 | 5 |
| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Image Classification from Features | Nov 24, 2022 | Classificationimage-classification | CodeCode Available | 0 | 5 |
| Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models | Feb 3, 2024 | motion predictionregression | CodeCode Available | 0 | 5 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Dirac Delta Regression: Conditional Density Estimation with Clinical Trials | May 24, 2019 | Causal InferenceDensity Estimation | CodeCode Available | 0 | 5 |
| CVA Sensitivities, Hedging and Risk | Jul 26, 2024 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Linear Regression | Oct 29, 2019 | regression | CodeCode Available | 0 | 5 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 | 5 |
| Curriculum semi-supervised segmentation | Apr 10, 2019 | Left Ventricle Segmentationregression | CodeCode Available | 0 | 5 |
| Curiously Effective Features for Image Quality Prediction | Jun 10, 2021 | Predictionregression | CodeCode Available | 0 | 5 |
| Airbnb Price Prediction Using Machine Learning and Sentiment Analysis | Jul 29, 2019 | BIG-bench Machine LearningClustering | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Dictionary-based Manifold Learning | Feb 1, 2023 | regression | CodeCode Available | 0 | 5 |
| Diagnostic Tool for Out-of-Sample Model Evaluation | Jun 22, 2022 | Diagnosticmodel | CodeCode Available | 0 | 5 |
| Dually Supervised Feature Pyramid for Object Detection and Segmentation | Dec 8, 2019 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Data subsampling for Poisson regression with pth-root-link | Oct 30, 2024 | regression | CodeCode Available | 0 | 5 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 | 5 |
| CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning | Oct 3, 2021 | Image SegmentationMultiple Instance Learning | CodeCode Available | 0 | 5 |
