| AI Blue Book: Vehicle Price Prediction using Visual Features | Mar 29, 2018 | General ClassificationPrediction | 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 |
| Crosslingual Document Embedding as Reduced-Rank Ridge Regression | Apr 8, 2019 | Document Embeddingregression | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Deep Factorization Machines for Knowledge Tracing | May 1, 2018 | Knowledge TracingLanguage Acquisition | CodeCode Available | 0 | 5 |
| Deep Factorization Machines for Knowledge Tracing | Jun 1, 2018 | Knowledge TracingLanguage Acquisition | CodeCode Available | 0 | 5 |
| A Locally Adaptive Interpretable Regression | May 7, 2020 | BIG-bench Machine LearningEconometrics | CodeCode Available | 0 | 5 |
| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Linear Regression | Oct 29, 2019 | regression | CodeCode Available | 0 | 5 |
| Fast local linear regression with anchor regularization | Feb 21, 2020 | regression | CodeCode Available | 0 | 5 |
| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Attribute Inference Attacks for Federated Regression Tasks | Nov 19, 2024 | AttributeFederated Learning | CodeCode Available | 0 | 5 |
| Fast OSCAR and OWL Regression via Safe Screening Rules | Jun 29, 2020 | regressionSparse Learning | CodeCode Available | 0 | 5 |
| Fast, Provable Algorithms for Isotonic Regression in all L_p-norms | Dec 1, 2015 | Allregression | CodeCode Available | 0 | 5 |
| Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression | Jul 16, 2019 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Differentially Private Image Classification from Features | Nov 24, 2022 | Classificationimage-classification | CodeCode Available | 0 | 5 |
| Diagnostic Tool for Out-of-Sample Model Evaluation | Jun 22, 2022 | Diagnosticmodel | CodeCode Available | 0 | 5 |
| Dictionary-based Manifold Learning | Feb 1, 2023 | regression | 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 |
| A Structured Prediction Approach for Label Ranking | Jul 6, 2018 | Predictionregression | 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 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Deterministic error bounds for kernel-based learning techniques under bounded noise | Aug 10, 2020 | Gaussian Processesregression | CodeCode Available | 0 | 5 |