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regression

Papers

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Showing 1–25 of 9424 papers

TitleStatusHype
Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression—0
Second-Order Bounds for [0,1]-Valued Regression via Betting Loss—0
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts—0
Imbalanced Regression Pipeline RecommendationCode0
Sparse Regression Codes exploit Multi-User Diversity without CSI—0
Bradley-Terry and Multi-Objective Reward Modeling Are Complementary—0
Active Learning for Manifold Gaussian Process RegressionCode0
Integrating Pharmacokinetics and Pharmacodynamics Modeling with Quantum Regression for Predicting Herbal Compound Toxicity—0
Vector Contrastive Learning For Pixel-Wise Pretraining In Medical VisionCode1
A Survey of Predictive Maintenance Methods: An Analysis of Prognostics via Classification and Regression—0
The Persistent Effects of Peru's Mining MITA: Double Machine Learning Approach—0
Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares—0
GRASP: Grouped Regression with Adaptive Shrinkage PriorsCode0
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification—0
Predicting Stock Market Crash with Bayesian Generalised Pareto Regression—0
Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method—0
Empirical Models of the Time Evolution of SPX Option Prices—0
CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy OptimizationCode0
TRUST: Transparent, Robust and Ultra-Sparse Trees—0
A Simplified Analysis of SGD for Linear Regression with Weight Averaging—0
Bayesian Hybrid Machine Learning of Gallstone Risk—0
Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM DatasetCode0
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances—0
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs—0
Machine Learning-Driven Compensation for Non-Ideal Channels in AWG-Based FBG Interrogator—0
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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