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| Faster Kernel Ridge Regression Using Sketching and Preconditioning | Nov 10, 2016 | regression | CodeCode Available | 0 | 5 |
| Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance | Aug 10, 2019 | feature selectionObject Tracking | CodeCode Available | 0 | 5 |
| Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration | Feb 27, 2019 | regression | CodeCode Available | 0 | 5 |
| Cross-validation for change-point regression: pitfalls and solutions | Dec 6, 2021 | regression | CodeCode Available | 0 | 5 |
| Dimension Reduction and MARS | Feb 11, 2023 | Dimensionality Reductionregression | 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 |
| AI Blue Book: Vehicle Price Prediction using Visual Features | Mar 29, 2018 | General ClassificationPrediction | CodeCode Available | 0 | 5 |
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| Dirac Delta Regression: Conditional Density Estimation with Clinical Trials | May 24, 2019 | Causal InferenceDensity Estimation | CodeCode Available | 0 | 5 |
| Crosslingual Document Embedding as Reduced-Rank Ridge Regression | Apr 8, 2019 | Document Embeddingregression | CodeCode Available | 0 | 5 |
| FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief | Nov 30, 2020 | Clusteringregression | CodeCode Available | 0 | 5 |
| Diffusion Counterfactuals for Image Regressors | Mar 26, 2025 | counterfactualDenoising | 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 |
| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Feature space approximation for kernel-based supervised learning | Nov 25, 2020 | regressionTime Series | CodeCode Available | 0 | 5 |
| A Tutorial on Bayesian Optimization | Jul 8, 2018 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 0 | 5 |
| Fenrir: Physics-Enhanced Regression for Initial Value Problems | Feb 2, 2022 | Numerical Integrationparameter estimation | CodeCode Available | 0 | 5 |
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| Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network | Jun 14, 2018 | regression | CodeCode Available | 0 | 5 |
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| First-Order Manifold Data Augmentation for Regression Learning | Jun 16, 2024 | Data Augmentationregression | CodeCode Available | 0 | 5 |
| First-order Optimization for Superquantile-based Supervised Learning | Sep 30, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Fitting 3D Morphable Models using Local Features | Mar 8, 2015 | regression | CodeCode Available | 0 | 5 |
| Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression | Jun 28, 2012 | Formregression | 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 |
| Diagnostic Tool for Out-of-Sample Model Evaluation | Jun 22, 2022 | Diagnosticmodel | CodeCode Available | 0 | 5 |
| A Structured Prediction Approach for Label Ranking | Jul 6, 2018 | Predictionregression | CodeCode Available | 0 | 5 |
| Dictionary-based Manifold Learning | Feb 1, 2023 | regression | CodeCode Available | 0 | 5 |
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| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Deep Learning Approach for Dynamic Sampling for Multichannel Mass Spectrometry Imaging | Oct 24, 2022 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Free Discontinuity Regression: With an Application to the Economic Effects of Internet Shutdowns | Sep 26, 2023 | Image Segmentationregression | 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 |
| FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image | Jun 1, 2019 | Depth EstimationHead Pose Estimation | 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 |
| A Strategy for Label Alignment in Deep Neural Networks | Oct 7, 2024 | Domain Adaptationregression | CodeCode Available | 0 | 5 |
| Deterministic error bounds for kernel-based learning techniques under bounded noise | Aug 10, 2020 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Functional data learning using convolutional neural networks | Oct 5, 2023 | parameter estimationregression | 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 |
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| Detecting Errors in a Numerical Response via any Regression Model | May 26, 2023 | regression | CodeCode Available | 0 | 5 |
| Gap Safe screening rules for sparsity enforcing penalties | Nov 17, 2016 | regression | CodeCode Available | 0 | 5 |
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