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| A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions | Sep 21, 2017 | regression | CodeCode Available | 0 | 5 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Dynamic CoVaR Modeling and Estimation | Jun 28, 2022 | 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 |
| AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge | Jul 28, 2021 | AutoMLFeature Engineering | CodeCode Available | 0 | 5 |
| Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling | May 25, 2018 | Ensemble Learningregression | CodeCode Available | 0 | 5 |
| Modeling Epidemic Spread: A Gaussian Process Regression Approach | Dec 14, 2023 | GPRregression | CodeCode Available | 0 | 5 |
| Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression | Feb 17, 2022 | Model Selectionregression | CodeCode Available | 0 | 5 |
| Modeling the dynamics of language change: logistic regression, Piotrowski's law, and a handful of examples in Polish | Apr 13, 2021 | regression | CodeCode Available | 0 | 5 |
| Dually Supervised Feature Pyramid for Object Detection and Segmentation | Dec 8, 2019 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression | May 9, 2025 | regression | CodeCode Available | 0 | 5 |
| Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography | Jul 20, 2019 | Bayesian InferenceGPR | CodeCode Available | 0 | 5 |
| Automating the Discovery of Partial Differential Equations in Dynamical Systems | Apr 25, 2024 | regression | CodeCode Available | 0 | 5 |
| DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression | Apr 16, 2016 | BlockingMulti-class Classification | CodeCode Available | 0 | 5 |
| DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression | Aug 10, 2020 | CPUReal-Time Visual Tracking | CodeCode Available | 0 | 5 |
| Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks | Jul 19, 2018 | ClassificationData Augmentation | CodeCode Available | 0 | 5 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 | 5 |
| Adaptive Reduced Rank Regression | May 28, 2019 | regression | CodeCode Available | 0 | 5 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 | 5 |
| Double Cross-fit Doubly Robust Estimators: Beyond Series Regression | Mar 22, 2024 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Domain Generalization by Functional Regression | Feb 9, 2023 | Domain Generalizationregression | CodeCode Available | 0 | 5 |
| Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression | Jan 7, 2025 | Action Quality AssessmentContrastive Learning | CodeCode Available | 0 | 5 |
| MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction | Aug 14, 2022 | regressionseverity prediction | CodeCode Available | 0 | 5 |
| DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning | Dec 24, 2021 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 | 5 |
| Muffled Semi-Supervised Learning | May 28, 2016 | regression | CodeCode Available | 0 | 5 |
| Dual Instrumental Variable Regression | Oct 27, 2019 | regression | CodeCode Available | 0 | 5 |
| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model | Dec 5, 2018 | Neural Network Compressionregression | CodeCode Available | 0 | 5 |
| COLA: Decentralized Linear Learning | Aug 13, 2018 | BIG-bench Machine LearningCoLA | CodeCode Available | 0 | 5 |
| A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023 | Jun 28, 2023 | Binary ClassificationDepression Detection | CodeCode Available | 0 | 5 |
| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT | Aug 4, 2022 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| Multi-objective multi-generation Gaussian process optimizer for design optimization | Jun 29, 2019 | regression | CodeCode Available | 0 | 5 |
| Multi-Output Random Forest Regression to Emulate the Earliest Stages of Planet Formation | Apr 26, 2021 | regression | CodeCode Available | 0 | 5 |
| Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design | Mar 26, 2021 | regression | CodeCode Available | 0 | 5 |
| DL-Reg: A Deep Learning Regularization Technique using Linear Regression | Oct 31, 2020 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 | 5 |
| Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes | Aug 3, 2018 | Conditional Image GenerationDiversity | CodeCode Available | 0 | 5 |
| Color Constancy Using CNNs | Apr 17, 2015 | Color Constancyregression | CodeCode Available | 0 | 5 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 | 5 |
| Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements | Dec 20, 2022 | regression | CodeCode Available | 0 | 5 |
| Automatic doubly robust inference for linear functionals via calibrated debiased machine learning | Nov 5, 2024 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images | May 8, 2018 | 3D Pose EstimationAutonomous Driving | CodeCode Available | 0 | 5 |
| Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts | Jul 2, 2024 | Decision Makingquantile regression | CodeCode Available | 0 | 5 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | 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 |
| Automatic debiasing of neural networks via moment-constrained learning | Sep 29, 2024 | regression | CodeCode Available | 0 | 5 |
