SOTAVerified

regression

Papers

Showing 51265150 of 9424 papers

TitleStatusHype
Regression Trees for Cumulative Incidence Functions0
Non-stationary Online Regression0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems0
Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions0
Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration0
Node Attribute Completion in Knowledge Graphs with Multi-Relational PropagationCode0
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners0
Sparsely constrained neural networks for model discovery of PDEsCode1
Spring-Rod System Identification via Differentiable Physics Engine0
Google Trends Analysis of COVID-190
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images0
Graph Kernels: State-of-the-Art and Future ChallengesCode1
Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak0
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression0
Fighting an Infodemic: COVID-19 Fake News DatasetCode1
Sparse Approximate Solutions to Max-Plus Equations with Application to Multivariate Convex Regression0
Deep learning architectures for inference of AC-OPF solutions0
Wasserstein-based fairness interpretability framework for machine learning models0
Fault Location Estimation by Using Machine Learning Methods in Mixed Transmission Lines0
Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives0
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?Code0
Bias correction for quantile regression estimators0
QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian0
A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped Convolutions0
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79Unverified
2Baseline RegressionR2 Score0.58Unverified
3Mimic / SurrogateR2 Score0.57Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86Unverified
2Baseline RegressionR2 Score0.59Unverified
3Mimic / SurrogateR2 Score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87Unverified
2Baseline RegressionR2 Score0.78Unverified
3Mimic / SurrogateR2 Score0.78Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98Unverified
2Baseline RegressionR2 Score-0.01Unverified
3Mimic / SurrogateR2 Score-0.01Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93Unverified
2RF-ToxPrintchemical macro-average RMSE0.85Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84Unverified