| 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 |
| Diagnostic Tool for Out-of-Sample Model Evaluation | Jun 22, 2022 | Diagnosticmodel | CodeCode Available | 0 | 5 |
| Differentiable Optimization of Similarity Scores Between Models and Brains | Jul 9, 2024 | regression | CodeCode Available | 0 | 5 |
| High-dimensional censored MIDAS logistic regression for corporate survival forecasting | Feb 13, 2025 | regression | CodeCode Available | 0 | 5 |
| Deep Regression Forests for Age Estimation | Dec 19, 2017 | Age Estimationregression | CodeCode Available | 0 | 5 |
| High-Dimensional Metrics in R | Mar 5, 2016 | regressionvalid | CodeCode Available | 0 | 5 |
| High dimensional regression for regenerative time-series: an application to road traffic modeling | Oct 24, 2019 | regressionTime Series | CodeCode Available | 0 | 5 |
| Differentially Private Image Classification from Features | Nov 24, 2022 | Classificationimage-classification | 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 Regression Tracking with Shrinkage Loss | Sep 1, 2018 | regression | CodeCode Available | 0 | 5 |
| Covariate balancing using the integral probability metric for causal inference | May 23, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows | Feb 19, 2020 | Image Classificationregression | CodeCode Available | 0 | 5 |
| Covariance regression with random forests | Sep 16, 2022 | Epidemiologyregression | CodeCode Available | 0 | 5 |
| High Performance Logistic Regression for Privacy-Preserving Genome Analysis | Feb 13, 2020 | Privacy Preservingregression | 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 |
| High resolution neural connectivity from incomplete tracing data using nonnegative spline regression | May 24, 2016 | Matrix Completionregression | 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 |
| Determinantal Point Processes for Coresets | Mar 23, 2018 | Point Processesregression | CodeCode Available | 0 | 5 |
| Deterministic error bounds for kernel-based learning techniques under bounded noise | Aug 10, 2020 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Detecting floodwater on roadways from image data with handcrafted features and deep transfer learning | Aug 31, 2019 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Detecting Errors in a Numerical Response via any Regression Model | May 26, 2023 | regression | CodeCode Available | 0 | 5 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Deep Sketched Output Kernel Regression for Structured Prediction | Jun 13, 2024 | Cross-Modal RetrievalPrediction | CodeCode Available | 0 | 5 |
| Automatic Construction and Natural-Language Description of Nonparametric Regression Models | Feb 18, 2014 | Gaussian Processesregression | 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 |
