| Dynamic Network Quantile Regression Model | Nov 15, 2021 | modelquantile regression | CodeCode Available | 0 | 5 |
| Logistic Regression Through the Veil of Imprecise Data | Jun 1, 2021 | regression | CodeCode Available | 0 | 5 |
| Chirality Nets for Human Pose Regression | Oct 31, 2019 | 3D Human Pose Estimation3D Pose Estimation | CodeCode Available | 0 | 5 |
| Logistic Variational Bayes Revisited | Jun 2, 2024 | Bayesian InferenceBayesian Optimization | CodeCode Available | 0 | 5 |
| Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification | Aug 27, 2020 | General Classificationregression | CodeCode Available | 0 | 5 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Choosing the Sample with Lowest Loss makes SGD Robust | Jan 10, 2020 | regression | CodeCode Available | 0 | 5 |
| Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis | Sep 24, 2019 | regression | CodeCode Available | 0 | 5 |
| Auxiliary Variational MCMC | May 1, 2019 | regressionVariational Inference | 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 |
| 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 |
| The Choice of Normalization Influences Shrinkage in Regularized Regression | Jan 7, 2025 | regression | CodeCode Available | 0 | 5 |
| Dually Supervised Feature Pyramid for Object Detection and Segmentation | Dec 8, 2019 | Objectobject-detection | 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 |
| Evaluation for Regression Analyses on Evolving Data Streams | Feb 11, 2025 | regression | CodeCode Available | 0 | 5 |
| Autoregressive Quantile Networks for Generative Modeling | Jun 14, 2018 | Diversityquantile regression | 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 |
| Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison | Jun 17, 2021 | BIG-bench Machine Learningquantile regression | CodeCode Available | 0 | 5 |
| A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions | Sep 21, 2017 | regression | 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 |
| DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression | Apr 16, 2016 | BlockingMulti-class Classification | CodeCode Available | 0 | 5 |
| Manifold-regression to predict from MEG/EEG brain signals without source modeling | Jun 4, 2019 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 | 5 |
| Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning | Apr 1, 2018 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Manipulation-Robust Regression Discontinuity Designs | Sep 16, 2020 | Diagnosticregression | 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 |
| Domain Generalization by Functional Regression | Feb 9, 2023 | Domain Generalizationregression | CodeCode Available | 0 | 5 |
| Double Cross-fit Doubly Robust Estimators: Beyond Series Regression | Mar 22, 2024 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream | Feb 28, 2018 | Marketingregression | CodeCode Available | 0 | 5 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 | 5 |
| Automating the Discovery of Partial Differential Equations in Dynamical Systems | Apr 25, 2024 | regression | CodeCode Available | 0 | 5 |
| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment | Mar 29, 2022 | Face AlignmentFacial Landmark Detection | CodeCode Available | 0 | 5 |
| DL-Reg: A Deep Learning Regularization Technique using Linear Regression | Oct 31, 2020 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Classification with Strategically Withheld Data | Dec 18, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression | May 19, 2023 | Mortality Predictionregression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| Adaptive Reduced Rank Regression | May 28, 2019 | regression | CodeCode Available | 0 | 5 |
| MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection | Oct 4, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| On the approximation capability of GNNs in node classification/regression tasks | Jun 16, 2021 | ClusteringGraph Classification | CodeCode Available | 0 | 5 |
| Meta-learning Amidst Heterogeneity and Ambiguity | Jul 5, 2021 | Meta-Learningregression | CodeCode Available | 0 | 5 |
| Accelerating Cross-Validation in Multinomial Logistic Regression with _1-Regularization | Nov 15, 2017 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation | Mar 27, 2024 | Meta-Learningregression | 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 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 | 5 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 | 5 |
| Aortic root landmark localization with optimal transport loss for heatmap regression | Jul 6, 2024 | regression | CodeCode Available | 0 | 5 |
| Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension | May 23, 2023 | regression | 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 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |