SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 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
Imbalanced Regression Pipeline RecommendationCode0
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts—0
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
GRASP: Grouped Regression with Adaptive Shrinkage PriorsCode0
Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares—0
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
A Simplified Analysis of SGD for Linear Regression with Weight Averaging—0
TRUST: Transparent, Robust and Ultra-Sparse Trees—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
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability—0
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing—0
Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas—0
Coefficient Shape Transfer Learning for Functional Linear Regression—0
Fidelity Isn't Accuracy: When Linearly Decodable Functions Fail to Match the Ground TruthCode0
An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia—0
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods—0
Demystifying Spectral Feature Learning for Instrumental Variable Regression—0
Diffusion index forecasts under weaker loadings: PCA, ridge regression, and random projections—0
Robust Visual Localization via Semantic-Guided Multi-Scale Transformer—0
Improved Scaling Laws in Linear Regression via Data Reuse—0
Diffuse and Disperse: Image Generation with Representation Regularization—0
Nearness of Neighbors Attention for Regression in Supervised FinetuningCode0
The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks—0
Sparse Interpretable Deep Learning with LIES Networks for Symbolic RegressionCode0
Differentially Private Sparse Linear Regression with Heavy-tailed Responses—0
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive RandomizationCode0
Membership Inference Attacks for Unseen Classes—0
When can in-context learning generalize out of task distribution?—0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Structure-Aware Radar-Camera Depth Estimation—0
Distributional encoding for Gaussian process regression with qualitative inputs—0
Privacy Amplification Through Synthetic Data: Insights from Linear Regression—0
Latent Variable Autoregression with Exogenous Inputs—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Show:102550
← PrevPage 1 of 189Next →
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