| Conformalized Fairness via Quantile Regression | Oct 5, 2022 | Conformal PredictionFairness | CodeCode Available | 0 |
| Medoid splits for efficient random forests in metric spaces | Jun 29, 2023 | regression | CodeCode Available | 0 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 |
| Conformalized Adaptive Forecasting of Heterogeneous Trajectories | Feb 14, 2024 | Conformal PredictionMotion Planning | CodeCode Available | 0 |
| DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine | Mar 17, 2020 | Multi-Object TrackingObject Tracking | CodeCode Available | 0 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos | May 3, 2022 | regression | CodeCode Available | 0 |
| Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression | Apr 7, 2021 | General Classificationimage-classification | CodeCode Available | 0 |
| Distilled Neural Networks for Efficient Learning to Rank | Feb 22, 2022 | CPUInformation Retrieval | CodeCode Available | 0 |
| Reducing Certified Regression to Certified Classification for General Poisoning Attacks | Aug 29, 2022 | Classificationregression | CodeCode Available | 0 |
| SPSA-FSR: Simultaneous Perturbation Stochastic Approximation for Feature Selection and Ranking | Apr 16, 2018 | feature selectionGeneral Classification | CodeCode Available | 0 |
| An ensemble meta-estimator to predict source code testability | Aug 20, 2022 | Feature Importanceregression | CodeCode Available | 0 |
| GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings | Jun 5, 2018 | AttributeGeneral Classification | CodeCode Available | 0 |
| Uncoupled Regression from Pairwise Comparison Data | May 31, 2019 | Learning-To-Rankregression | CodeCode Available | 0 |
| Confident Neural Network Regression with Bootstrapped Deep Ensembles | Feb 22, 2022 | Prediction Intervalsregression | CodeCode Available | 0 |
| Haar Graph Pooling | Sep 25, 2019 | General ClassificationGraph Classification | CodeCode Available | 0 |
| Optimal Training of Mean Variance Estimation Neural Networks | Feb 17, 2023 | regression | CodeCode Available | 0 |
| An efficient projection neural network for _1-regularized logistic regression | May 12, 2021 | feature selectionregression | CodeCode Available | 0 |
| An Efficient and Effective Second-Order Training Algorithm for LSTM-based Adaptive Learning | Oct 22, 2019 | regression | CodeCode Available | 0 |
| SelectiveNet: A Deep Neural Network with an Integrated Reject Option | Jan 26, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Reentry Risk and Safety Assessment of Spacecraft Debris Based on Machine Learning | Feb 21, 2023 | regression | CodeCode Available | 0 |
| Anchor Data Augmentation | Nov 12, 2023 | Data Augmentationregression | CodeCode Available | 0 |
| Selective Refinement Network for High Performance Face Detection | Sep 7, 2018 | Face DetectionGeneral Classification | CodeCode Available | 0 |
| Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach | May 28, 2025 | regressionVariable Selection | CodeCode Available | 0 |
| Selective Regression Under Fairness Criteria | Oct 28, 2021 | FairnessPrediction | CodeCode Available | 0 |
| Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | Sep 25, 2017 | Bayesian Inferenceregression | CodeCode Available | 0 |
| MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection | Oct 4, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Bounds for Bias-Adjusted Treatment Effect in Linear Econometric Models | Mar 23, 2022 | regression | CodeCode Available | 0 |
| Distance Estimation Methods for a Practical Macroscale Molecular Communication System | Sep 27, 2019 | parameter estimationregression | CodeCode Available | 0 |
| Meta-in-context learning in large language models | May 22, 2023 | In-Context LearningMulti-Armed Bandits | CodeCode Available | 0 |
| Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning | Jun 30, 2017 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Meta-learning Amidst Heterogeneity and Ambiguity | Jul 5, 2021 | Meta-Learningregression | CodeCode Available | 0 |
| HARFE: Hard-Ridge Random Feature Expansion | Feb 6, 2022 | regression | CodeCode Available | 0 |
| AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge | Jul 28, 2021 | AutoMLFeature Engineering | CodeCode Available | 0 |
| S-SIRUS: an explainability algorithm for spatial regression Random Forest | Aug 10, 2024 | regression | CodeCode Available | 0 |
| A Generative Map for Image-based Camera Localization | Feb 18, 2019 | Camera Localizationregression | CodeCode Available | 0 |
| Solving Offline Reinforcement Learning with Decision Tree Regression | Jan 21, 2024 | D4RLFeature Importance | CodeCode Available | 0 |
| Symbolic regression by uniform random global search | Jun 18, 2019 | global-optimizationregression | CodeCode Available | 0 |
| RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks | Jul 15, 2023 | Contrastive LearningGraph Learning | CodeCode Available | 0 |
| Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks | Oct 3, 2019 | Few-Shot Image ClassificationGeneral Classification | CodeCode Available | 0 |
| Meta-Learning Priors for Efficient Online Bayesian Regression | Jul 24, 2018 | Meta-Learningregression | CodeCode Available | 0 |
| HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection | Oct 31, 2022 | regression | CodeCode Available | 0 |
| Self-Distillation for Gaussian Process Regression and Classification | Apr 5, 2023 | ClassificationGPR | CodeCode Available | 0 |
| Confidence Propagation through CNNs for Guided Sparse Depth Regression | Nov 5, 2018 | Autonomous DrivingDepth Completion | CodeCode Available | 0 |
| Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation | Mar 27, 2024 | Meta-Learningregression | CodeCode Available | 0 |
| Bounding Wasserstein distance with couplings | Dec 6, 2021 | regression | CodeCode Available | 0 |
| rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models | Jan 29, 2025 | regressionSymbolic Regression | CodeCode Available | 0 |
| HDI-Forest: Highest Density Interval Regression Forest | May 24, 2019 | Prediction Intervalsregression | CodeCode Available | 0 |
| Weighted Linear Bandits for Non-Stationary Environments | Sep 19, 2019 | regression | CodeCode Available | 0 |
| The XAISuite framework and the implications of explanatory system dissonance | Apr 15, 2023 | regression | CodeCode Available | 0 |
| Adaptive Concentration of Regression Trees, with Application to Random Forests | Mar 22, 2015 | Model Selectionregression | CodeCode Available | 0 |
