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regression

Papers

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Showing 1201–1250 of 9424 papers

TitleStatusHype
On Causal Inference with Model-Based OutcomesCode0
H-Consistency Guarantees for Regression—0
Scaling up ridge regression for brain encoding in a massive individual fMRI datasetCode0
DeepSample: DNN sampling-based testing for operational accuracy assessment—0
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance EstimationCode0
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory PredictionCode2
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling—0
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes—0
Optimal convex M-estimation via score matching—0
Multi-attention Associate Prediction Network for Visual Tracking—0
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization—0
ANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process—0
Modelling with Discretized VariablesCode0
Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks—0
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric UncertaintyCode0
Impact Assessment of Missing Data in Model Predictions for Earth Observation ApplicationsCode0
An Analysis of Linear Time Series Forecasting ModelsCode1
Fused LASSO as Non-Crossing Quantile Regression—0
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression—0
DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation—0
Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression—0
Neural Parameter Regression for Explicit Representations of PDE Solution Operators—0
Inflation Target at Risk: A Time-varying Parameter Distributional Regression—0
An Alternative Graphical Lasso Algorithm for Precision Matrices—0
VQ-NeRV: A Vector Quantized Neural Representation for VideosCode1
Tighter Confidence Bounds for Sequential Kernel Regression—0
Selecting informative conformal prediction sets with false coverage rate control—0
PETScML: Second-order solvers for training regression problems in Scientific Machine Learning—0
Approximation of RKHS Functionals by Neural Networks—0
Probabilistic Calibration by Design for Neural Network RegressionCode1
Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction—0
Machine learning-based system reliability analysis with Gaussian Process Regression—0
Federated Transfer Learning with Differential Privacy—0
Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables—0
Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate RegressionCode1
A Structure-Preserving Kernel Method for Learning Hamiltonian Systems—0
Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model—0
Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation products—0
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression—0
Single Domain Generalization for Crowd CountingCode2
The NeRFect Match: Exploring NeRF Features for Visual Localization—0
Outlier Robust Multivariate Polynomial Regression—0
CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram ClassificationCode0
Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
Weak Collocation Regression for Inferring Stochastic Dynamics with Lévy Noise—0
Multifidelity linear regression for scientific machine learning from scarce data—0
Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime—0
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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