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regression

Papers

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Showing 1451–1475 of 9424 papers

TitleStatusHype
Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource SettingsCode0
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression—0
TIER: Text-Image Encoder-based Regression for AIGC Image Quality AssessmentCode1
A least distance estimator for a multivariate regression model using deep neural networks—0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
Multi-Stage Contrastive Regression for Action Quality AssessmentCode0
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics—0
Simulation-Based Inference with Quantile RegressionCode0
LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training—0
Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay—0
Uncertainty Regularized Evidential RegressionCode1
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions—0
Machine Learning Classification of Alzheimer's Disease Stages Using Cerebrospinal Fluid Biomarkers Alone—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
Spatial-Aware Regression for Keypoint LocalizationCode1
DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression ApproachCode1
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector—0
Stochastic Gradient Descent for Nonparametric Regression—0
Harmonizing SO(3)-Equivariance with Neural Expressiveness: a Hybrid Deep Learning Framework Oriented to the Prediction of Electronic Structure Hamiltonian—0
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock—0
UGPNet: Universal Generative Prior for Image Restoration—0
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect—0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners—0
A Novel Explanation Against Linear Neural Networks—0
Deep Generative Symbolic RegressionCode1
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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