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regression

Papers

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Showing 2301–2350 of 9424 papers

TitleStatusHype
Multivariate regression modeling in integrative analysis via sparse regularization—0
The XAISuite framework and the implications of explanatory system dissonanceCode0
CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression—0
OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis—0
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments—0
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
Understanding Overfitting in Adversarial Training via Kernel Regression—0
OKRidge: Scalable Optimal k-Sparse Ridge RegressionCode0
Multi-kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration—0
Priors for symbolic regressionCode0
Neural Attention Forests: Transformer-Based Forest ImprovementCode1
RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction—0
Financial Hedging and Risk Compression, A journey from linear regression to neural network—0
Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version—0
Bayesian Optimization of Catalysis With In-Context LearningCode1
Life Regression based Patch Slimming for Vision Transformers—0
Regression-based Deep-Learning predicts molecular biomarkers from pathology slidesCode1
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving—0
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning—0
Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13Code0
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantificationCode0
Compressed Regression over Adaptive Networks—0
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic RegressionCode0
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction—0
Conformal Regression in Calorie Prediction for Team Jumbo-Visma—0
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting—0
Cascaded Calibration of Mechatronic Systems via Bayesian Inference—0
Multi-Linear Kernel Regression and Imputation in Data Manifolds—0
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation—0
Self-Distillation for Gaussian Process Regression and ClassificationCode0
Mixed Regression via Approximate Message Passing—0
HNeRV: A Hybrid Neural Representation for VideosCode1
Optimal Sketching Bounds for Sparse Linear Regression—0
Conformalized Unconditional Quantile Regression—0
Optimal rates of approximation by shallow ReLU^k neural networks and applications to nonparametric regression—0
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition—0
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic FusionCode1
IV Regressions without Exclusion Restrictions—0
Multi-Agent Reachability Calibration with Conformal Prediction—0
An Empirical Study of Capital Asset Pricing Model based on Chinese A-share Trading DataCode1
Almost Linear Constant-Factor Sketching for _1 and Logistic RegressionCode0
An interpretable neural network-based non-proportional odds model for ordinal regressionCode0
Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data—0
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference—0
A Note On Nonlinear Regression Under L2 Loss—0
Inferring networks from time series: a neural approachCode1
Sasaki Metric for Spline Models of Manifold-Valued TrajectoriesCode0
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationCode0
An Over-parameterized Exponential Regression—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