SOTAVerified

regression

Papers

Showing 25262550 of 9424 papers

TitleStatusHype
Local Law 144: A Critical Analysis of Regression Metrics0
SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning MethodCode1
Reevaluating the Taylor Rule with Machine Learning0
Information-Theoretic DiffusionCode1
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?Code1
Covariate Adjustment in Stratified Experiments0
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations0
A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity DegradationCode0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification0
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data0
Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust0
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Testing for Structural Change under Nonstationarity0
Revisiting Discriminative vs. Generative Classifiers: Theory and ImplicationsCode1
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion0
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality0
Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationCode1
Learning Symbolic Models for Graph-structured Physical Mechanism0
Sketched Ridgeless Linear Regression: The Role of DownsamplingCode0
Factor Fields: A Unified Framework for Neural Fields and BeyondCode2
Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective0
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiationCode1
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils0
Show:102550
← PrevPage 102 of 377Next →

Benchmark Results

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