| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | 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 |
| Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification | Jul 22, 2021 | regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 | 5 |
| Identification, Interpretability, and Bayesian Word Embeddings | Apr 2, 2019 | regressionWord Embeddings | CodeCode Available | 0 | 5 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 | 5 |
| Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks | Oct 30, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning | Jan 1, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 0 | 5 |
| Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits | Jan 21, 2024 | Multi-Armed Banditsregression | CodeCode Available | 0 | 5 |
| Backtracking Regression Forests for Accurate Camera Relocalization | Oct 22, 2017 | Camera RelocalizationLoop Closure Detection | CodeCode Available | 0 | 5 |
| Building semi-supervised decision trees with semi-cart algorithm | Apr 24, 2024 | Classificationregression | CodeCode Available | 0 | 5 |
| ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering | Nov 20, 2020 | ClusteringIncomplete multi-view clustering | CodeCode Available | 0 | 5 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | 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 |
| Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications | Mar 21, 2024 | ClassificationClassification on Time Series with Missing Data | CodeCode Available | 0 | 5 |
| Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models | Feb 7, 2018 | Clusteringfeature selection | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
| Calibrated Computation-Aware Gaussian Processes | Oct 11, 2024 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
