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regression

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Showing 2501–2550 of 9424 papers

TitleStatusHype
Infinite Action Contextual Bandits with Reusable Data ExhaustCode0
Research on road object detection algorithm based on improved YOLOX—0
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers—0
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural NetworksCode1
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise—0
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion—0
Kernel Ridge Regression Inference—0
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals—0
SpReME: Sparse Regression for Multi-Environment Dynamic SystemsCode1
A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor—0
Set-Asides in USDA Food Procurement Auctions—0
Dimension Reduction and MARSCode0
TPE-Net: Track Point Extraction and Association Network for Rail Path Proposal Generation—0
Structural Break Detection in Quantile Predictive Regression Models with Persistent Covariates—0
On semiparametric estimation of the intercept of the sample selection model: a kernel approach—0
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric AlgebraCode0
Predicting the cardinality and maximum degree of a reduced Gröbner basisCode0
Discovery of sparse hysteresis models for piezoelectric materialsCode0
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness—0
A Composite T60 Regression and Classification Approach for Speech Dereverberation—0
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures—0
Domain Generalization by Functional RegressionCode0
Fast Linear Model Trees by PILOT—0
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems—0
Local Law 144: A Critical Analysis of Regression Metrics—0
SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning MethodCode1
Reevaluating the Taylor Rule with Machine Learning—0
Information-Theoretic DiffusionCode1
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?Code1
Covariate Adjustment in Stratified Experiments—0
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning—0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations—0
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 Quantification—0
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data—0
Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach—0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust—0
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyCode1
Testing for Structural Change under Nonstationarity—0
Revisiting Discriminative vs. Generative Classifiers: Theory and ImplicationsCode1
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion—0
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality—0
Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationCode1
Learning Symbolic Models for Graph-structured Physical Mechanism—0
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 Perspective—0
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 airfoils—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