| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model | Dec 5, 2018 | Neural Network Compressionregression | 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 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Dually Supervised Feature Pyramid for Object Detection and Segmentation | Dec 8, 2019 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Dual Instrumental Variable Regression | Oct 27, 2019 | 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 |
| Dynamic CoVaR Modeling and Estimation | Jun 28, 2022 | regression | CodeCode Available | 0 | 5 |
| ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods | Dec 21, 2022 | Binary Classificationregression | 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 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | 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 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 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 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | 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 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | 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 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 | 5 |
| Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method | Jul 5, 2012 | regression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | 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 for Consistent Predictions in Overparameterized Nonlinear Regression | Apr 6, 2024 | Bayesian InferenceLearning Theory | 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 |
| A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State | Nov 10, 2022 | Benchmarkingfeature selection | CodeCode Available | 0 | 5 |
