| Distributed Coordinate Descent for L1-regularized Logistic Regression | Nov 24, 2014 | regression | CodeCode Available | 0 | 5 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for Generalized Linear Models with Regularization | Nov 7, 2016 | regression | CodeCode Available | 0 | 5 |
| Regression via Implicit Models and Optimal Transport Cost Minimization | Mar 3, 2020 | Inductive Learningregression | CodeCode Available | 0 | 5 |
| Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing | Sep 8, 2023 | Adversarial Robustnessregression | CodeCode Available | 0 | 5 |
| Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice | May 22, 2023 | regressionReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Regularizing Face Verification Nets For Pain Intensity Regression | Feb 22, 2017 | Face VerificationPain Intensity Regression | CodeCode Available | 0 | 5 |
| Reinforced Knowledge Distillation for Time Series Regression | Jun 21, 2024 | Knowledge DistillationModel Compression | CodeCode Available | 0 | 5 |
| Distributed Function Minimization in Apache Spark | Sep 17, 2019 | General Classificationregression | CodeCode Available | 0 | 5 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos | May 3, 2022 | regression | CodeCode Available | 0 | 5 |
| RelNN: A Deep Neural Model for Relational Learning | Dec 7, 2017 | modelregression | CodeCode Available | 0 | 5 |
| Continuous Weight Balancing | Mar 30, 2021 | regression | CodeCode Available | 0 | 5 |
| DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine | Mar 17, 2020 | Multi-Object TrackingObject Tracking | CodeCode Available | 0 | 5 |
| Distilled Neural Networks for Efficient Learning to Rank | Feb 22, 2022 | CPUInformation Retrieval | CodeCode Available | 0 | 5 |
| Alternating Minimization for Regression with Tropical Rational Functions | May 31, 2023 | regression | CodeCode Available | 0 | 5 |
| Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression | Apr 7, 2021 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective | Jan 31, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models | Jan 14, 2025 | regression | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Distance approximation to support customer selection in vehicle routing problems | Apr 7, 2022 | regressionTraveling Salesman Problem | CodeCode Available | 0 | 5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | Aug 17, 2023 | Age EstimationDepth Aleatoric Uncertainty Estimation | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| ASBART:Accelerated Soft Bayes Additive Regression Trees | Oct 21, 2023 | regression | CodeCode Available | 0 | 5 |
| Contrastive Visual-Linguistic Pretraining | Jul 26, 2020 | Contrastive Learningregression | CodeCode Available | 0 | 5 |
| Distance Estimation Methods for a Practical Macroscale Molecular Communication System | Sep 27, 2019 | parameter estimationregression | CodeCode Available | 0 | 5 |
