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regression

Papers

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Showing 1451–1500 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
Multi-Stage Contrastive Regression for Action Quality AssessmentCode0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
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
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
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
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
Harmonizing SO(3)-Equivariance with Neural Expressiveness: a Hybrid Deep Learning Framework Oriented to the Prediction of Electronic Structure Hamiltonian—0
Stochastic Gradient Descent for Nonparametric Regression—0
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock—0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners—0
UGPNet: Universal Generative Prior for Image Restoration—0
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect—0
A Novel Explanation Against Linear Neural Networks—0
Deep Generative Symbolic RegressionCode1
Shape-IoU: More Accurate Metric considering Bounding Box Shape and ScaleCode1
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift—0
A randomized algorithm to solve reduced rank operator regressionCode1
Generalization in Kernel Regression Under Realistic Assumptions—0
Nowcasting Madagascar's real GDP using machine learning algorithms—0
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift—0
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning—0
ZeroShape: Regression-based Zero-shot Shape ReconstructionCode0
Learning Human-like Representations to Enable Learning Human Values—0
Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns—0
HDL and plaque regression in a multiphase model of early atherosclerosis—0
Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI FeynmanCode0
Vertical Symbolic Regression—0
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial EquationsCode0
Predicting Financial Literacy via Semi-supervised LearningCode0
The Conditioning Bias in Binary Decision Trees and Random Forests and Its EliminationCode0
CLDR: Contrastive Learning Drug Response Models from Natural Language SupervisionCode0
Knowledge Trees: Gradient Boosting Decision Trees on Knowledge Neurons as Probing Classifier—0
Fusion of Deep and Shallow Features for Face Kinship Verification—0
Symbolic Regression of Dynamic Network Models—0
Celestial Machine Learning: From Data to Mars and Beyond with AI FeynmanCode0
Reliable Prediction Intervals with Regression Neural Networks—0
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood—0
Asset Ownership Identification: Using machine learning to predict enterprise asset ownership—0
Prediction of rare events in the operation of household equipment using co-evolving time series—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