SOTAVerified

regression

Papers

Showing 251275 of 9424 papers

TitleStatusHype
Neural Refinement for Absolute Pose Regression with Feature SynthesisCode1
Transformer-based Planning for Symbolic RegressionCode1
Learning to Localize in Unseen Scenes with Relative Pose RegressorsCode1
DistilPose: Tokenized Pose Regression with Heatmap DistillationCode1
Discrete-time Competing-Risks Regression with or without PenalizationCode1
Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring DataCode1
Efficient Generator of Mathematical Expressions for Symbolic RegressionCode1
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural NetworksCode1
SpReME: Sparse Regression for Multi-Environment Dynamic SystemsCode1
SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning MethodCode1
Information-Theoretic DiffusionCode1
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?Code1
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Revisiting Discriminative vs. Generative Classifiers: Theory and ImplicationsCode1
Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationCode1
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiationCode1
Multicalibration as Boosting for RegressionCode1
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing SystemCode1
Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing MechanismCode1
Improving Deep Regression with Ordinal EntropyCode1
On the functional form of the radial acceleration relationCode1
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy LabelsCode1
SGLoc: Scene Geometry Encoding for Outdoor LiDAR LocalizationCode1
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU SupervisionCode1
Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-ResolutionCode1
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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