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regression

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Showing 1401–1425 of 9424 papers

TitleStatusHype
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift—0
Rectify the Regression Bias in Long-Tailed Object Detection—0
Neural Network Training on Encrypted Data with TFHE—0
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras—0
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional dataCode0
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization—0
Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors—0
Omnipredictors for Regression and the Approximate Rank of Convex Functions—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
Mapping-to-Parameter Nonlinear Functional Regression with Novel B-spline Free Knot Placement Algorithm—0
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic RegressionCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh RecoveryCode0
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search—0
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression—0
An Explicit Scheme for Pathwise XVA Computations—0
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting -- An Analytical Model—0
NIV-SSD: Neighbor IoU-Voting Single-Stage Object Detector From Point CloudCode0
Bayesian Semi-structured Subspace Inference—0
Nonparametric logistic regression with deep learning—0
Approaches to biological species delimitation based on genetic and spatial dissimilarity—0
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure—0
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning—0
Multivariate Density Estimation via Variance-Reduced SketchingCode0
Local Identification in Instrumental Variable Multivariate Quantile Regression Models—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