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regression

Papers

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Showing 1951–2000 of 9424 papers

TitleStatusHype
Towards Practical Robustness Auditing for Linear Regression—0
TMPNN: High-Order Polynomial Regression Based on Taylor Map FactorizationCode0
Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map—0
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation—0
Noisy Interpolation Learning with Shallow Univariate ReLU Networks—0
One-step smoothing splines instrumental regression—0
EFLNet: Enhancing Feature Learning for Infrared Small Target DetectionCode1
Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models—0
Dynamic Regression Discontinuity: An Event-Study Approach—0
Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling—0
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints—0
Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach—0
Testing for sparse idiosyncratic components in factor-augmented regression models—0
Interpretable Ensemble Learning for Materials Property Prediction with Classical Interatomic Potentials: Carbon as an Example—0
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions—0
Nonparametric Linear Feature Learning in Regression Through RegularisationCode0
Comparative analysis using classification methods versus early stage diabetes—0
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices—0
NCART: Neural Classification and Regression Tree for Tabular Data—0
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment ScansCode0
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation—0
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
Conditional expectation network for SHAP—0
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM ArchitectureCode1
Nonlinear Meta-Learning Can Guarantee Faster Rates—0
Bayesian Linear Regression with Cauchy Prior and Its Application in Sparse MIMO Radar—0
On minimizing the training set fill distance in machine learning regressionCode0
NeoSySPArtaN: A Neuro-Symbolic Spin Prediction Architecture for higher-order multipole waveforms from eccentric Binary Black Hole mergers using Numerical Relativity—0
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects—0
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models—0
Radar-Based Estimation of Human Body Orientation Using Respiratory Features and Hierarchical Regression Model—0
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency—0
Ord2Seq: Regarding Ordinal Regression as Label Sequence PredictionCode0
GBT: Two-stage transformer framework for non-stationary time series forecastingCode1
Covariate shift in nonparametric regression with Markovian design—0
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression—0
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank RegressionCode0
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation—0
RegExplainer: Generating Explanations for Graph Neural Networks in Regression TasksCode0
Efficient Strongly Polynomial Algorithms for Quantile Regression—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
Extended Graph Assessment Metrics for Graph Neural Networks—0
Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning—0
Outlier detection in regression: conic quadratic formulations—0
Selective Sampling and Imitation Learning via Online Regression—0
DNAGPT: A Generalized Pre-trained Tool for Versatile DNA Sequence Analysis Tasks—0
Using Linear Regression for Iteratively Training Neural Networks—0
_p-Regression in the Arbitrary Partition Model of Communication—0
Text Descriptions are Compressive and Invariant Representations for Visual Learning—0
CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation LearningCode0
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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