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regression

Papers

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Showing 2751–2800 of 9424 papers

TitleStatusHype
RegTraffic: A Regression Based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization—0
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression—0
MEGAN: Multi-Explanation Graph Attention NetworkCode1
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022—0
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems—0
Efficient List-Decodable Regression using Batches—0
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease PredictionCode0
Accuracy Prediction for NAS Acceleration using Feature Selection and ExtrapolationCode0
Exhaustive Symbolic RegressionCode1
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera LocalizationCode1
RobustLoc: Robust Camera Pose Regression in Challenging Driving EnvironmentsCode1
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance—0
Constructing Effective Machine Learning Models for the Sciences: A Multidisciplinary Perspective—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation—0
Confounder Balancing for Instrumental Variable Regression with Latent Variable—0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Global quantitative robustness of regression feed-forward neural networks—0
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic—0
Variable selection for nonlinear Cox regression model via deep learning—0
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE—0
Inadmissibility of the corrected Akaike information criterion—0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models—0
Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep LearningCode1
Vector-Valued Least-Squares Regression under Output Regularity Assumptions—0
SketchySGD: Reliable Stochastic Optimization via Randomized Curvature EstimatesCode0
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series ForecastingCode1
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem—0
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning—0
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression—0
Contrastive learning for regression in multi-site brain age predictionCode1
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression—0
Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression—0
Neural Regression For Scale-Varying TargetsCode0
Multilevel-in-Layer Training for Deep Neural Network RegressionCode0
Online Linearized LASSO—0
Overparameterized random feature regression with nearly orthogonal data—0
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression—0
Semi-supervised Variational Autoencoder for Regression: Application on Soft SensorsCode1
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares—0
A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady StateCode0
Regression as Classification: Influence of Task Formulation on Neural Network FeaturesCode1
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data—0
Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty—0
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty—0
flexBART: Flexible Bayesian regression trees with categorical predictorsCode1
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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