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| Spectral Representation for Causal Estimation with Hidden Confounders | Jul 15, 2024 | regression | CodeCode Available | 0 |
| 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 |
| Braced Fourier Continuation and Regression for Anomaly Detection | May 6, 2024 | Anomaly Detectionregression | CodeCode Available | 0 |
| Conformal Thresholded Intervals for Efficient Regression | Jul 19, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression | Nov 3, 2023 | ClassificationPose Estimation | CodeCode Available | 0 |
| Backtracking Regression Forests for Accurate Camera Relocalization | Oct 22, 2017 | Camera RelocalizationLoop Closure Detection | CodeCode Available | 0 |
| Opposite neighborhood: a new method to select reference points of minimal learning machines | Mar 22, 2018 | regression | CodeCode Available | 0 |
| OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression | May 27, 2021 | regression | CodeCode Available | 0 |
| Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes | Aug 3, 2018 | Conditional Image GenerationDiversity | CodeCode Available | 0 |
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| Optimal Activation Functions for the Random Features Regression Model | May 31, 2022 | regressionSensitivity | CodeCode Available | 0 |
| Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose | May 18, 2023 | 6D Pose EstimationDomain Adaptation | CodeCode Available | 0 |
| Manifold Gaussian Processes for Regression | Feb 24, 2014 | Gaussian Processesregression | CodeCode Available | 0 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 |
| Manifold-regression to predict from MEG/EEG brain signals without source modeling | Jun 4, 2019 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Optimal algorithms for smooth and strongly convex distributed optimization in networks | Feb 28, 2017 | Distributed Optimizationregression | CodeCode Available | 0 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 |
| Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation | Aug 23, 2022 | regression | CodeCode Available | 0 |
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| Rates of Convergence for Sparse Variational Gaussian Process Regression | Mar 8, 2019 | Continual Learningregression | CodeCode Available | 0 |
| ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation | Dec 11, 2023 | 3D Human Pose EstimationMonocular 3D Human Pose Estimation | CodeCode Available | 0 |
| Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning | Apr 1, 2018 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Manipulation-Robust Regression Discontinuity Designs | Sep 16, 2020 | Diagnosticregression | CodeCode Available | 0 |
| Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks | Feb 7, 2020 | Gaussian Processesregression | CodeCode Available | 0 |
| Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs | Sep 1, 2018 | regressionvalid | CodeCode Available | 0 |
| Synthetic Dataset Generation of Driver Telematics | Jan 30, 2021 | Dataset GenerationData Summarization | CodeCode Available | 0 |
| Mapping distributional to model-theoretic semantic spaces: a baseline | Jul 11, 2016 | Dependency ParsingQuestion Answering | CodeCode Available | 0 |
| Geometric Loss Functions for Camera Pose Regression with Deep Learning | Apr 2, 2017 | Deep LearningPosition | CodeCode Available | 0 |
| Geometry- and Accuracy-Preserving Random Forest Proximities | Jan 29, 2022 | Data VisualizationImputation | CodeCode Available | 0 |
| Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator | Aug 30, 2018 | regression | CodeCode Available | 0 |
| Geometry-Aware Instrumental Variable Regression | May 19, 2024 | regression | CodeCode Available | 0 |
| Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension | Apr 12, 2019 | regression | CodeCode Available | 0 |
| Active Learning for Manifold Gaussian Process Regression | Jun 26, 2025 | Active LearningDimensionality Reduction | CodeCode Available | 0 |
| Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring | May 1, 2024 | Earth Observationregression | CodeCode Available | 0 |
| GFN-SR: Symbolic Regression with Generative Flow Networks | Dec 1, 2023 | Deep Reinforcement LearningInterpretable Machine Learning | CodeCode Available | 0 |
| ggRandomForests: Visually Exploring a Random Forest for Regression | Jan 28, 2015 | regression | CodeCode Available | 0 |
| RCR: Robust Compound Regression for Robust Estimation of Errors-in-Variables Model | Aug 12, 2015 | regression | CodeCode Available | 0 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 |
| GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations | Dec 18, 2023 | Equation Discoveryregression | CodeCode Available | 0 |
| GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method | Sep 17, 2024 | Graph RegressionMulti-Task Learning | CodeCode Available | 0 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 |
| Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects | May 17, 2017 | ObjectObject Tracking | CodeCode Available | 0 |
| Projected random forests and conformal prediction of circular data | Oct 31, 2024 | ARCConformal Prediction | CodeCode Available | 0 |
| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 |
| Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles | Oct 21, 2022 | Multi-Armed Banditsregression | CodeCode Available | 0 |
| Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI | May 21, 2025 | Deep LearningFairness | CodeCode Available | 0 |
| SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans | Jul 22, 2023 | regression | CodeCode Available | 0 |