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regression

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Showing 2601–2650 of 9424 papers

TitleStatusHype
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) dataCode0
Revisiting mass-radius relationships for exoplanet populations: a machine learning insight—0
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactionsCode0
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency—0
Doubly-Robust Inference for Conditional Average Treatment Effects with High-Dimensional Controls—0
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation—0
A Coreset Learning Reality Check—0
Symbolic expression generation via Variational Auto-Encoder—0
Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery—0
Uncertainty Quantification for Local Model Explanations Without Model AccessCode0
Neural network with optimal neuron activation functions based on additive Gaussian process regression—0
Scalable Estimation for Structured Additive Distributional Regression—0
A survey and taxonomy of loss functions in machine learning—0
Neural Spline Search for Quantile Probabilistic Modeling—0
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning—0
On the functional form of the radial acceleration relationCode1
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference—0
Synthetic data generation method for data-free knowledge distillation in regression neural networksCode0
Testing for the appropriate level of clustering in linear regression models—0
Optirank: classification for RNA-Seq data with optimal ranking reference genesCode0
Semiparametric Regression for Spatial Data via Deep Learning—0
Asymptotic Theory for Two-Way Clustering—0
Distributed Sparse Linear Regression under Communication Constraints—0
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental TrialsCode0
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects—0
Isotonic Recalibration under a Low Signal-to-Noise Ratio—0
A Characterization of Multioutput Learnability—0
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion PriorCode2
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models—0
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL WeightsCode0
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality AssessmentCode0
How to get the most out of Twinned Regression Methods—0
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy LabelsCode1
Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-ResolutionCode1
Plausible Uncertainties for Human Pose Regression—0
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality AssessmentCode0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU SupervisionCode1
DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
Gaussian Label Distribution Learning for Spherical Image Object Detection—0
SGLoc: Scene Geometry Encoding for Outdoor LiDAR LocalizationCode1
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale—0
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy—0
Smooth Mathematical Function from Compact Neural Networks—0
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization—0
Identifying causal effects with subjective ordinal outcomes—0
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation—0
Supercompliers—0
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified