SOTAVerified

regression

Papers

Showing 15011550 of 9424 papers

TitleStatusHype
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantificationCode0
Identification, Interpretability, and Bayesian Word EmbeddingsCode0
Domain Generalization by Functional RegressionCode0
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Image-level Regression for Uncertainty-aware Retinal Image SegmentationCode0
BRITS: Bidirectional Recurrent Imputation for Time SeriesCode0
Imbalanced Regression Pipeline RecommendationCode0
DOLDA - a regularized supervised topic model for high-dimensional multi-class regressionCode0
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-LearningCode0
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out CodesCode0
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You ThinkCode0
Building semi-supervised decision trees with semi-cart algorithmCode0
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view ClusteringCode0
Backtracking Regression Forests for Accurate Camera RelocalizationCode0
Dlib-ml: A Machine Learning ToolkitCode0
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selectionCode0
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive ModelsCode0
Distribution Regression with Sliced Wasserstein KernelsCode0
Disturbing Target Values for Neural Network RegularizationCode0
DL-Reg: A Deep Learning Regularization Technique using Linear RegressionCode0
Distribution-Free Predictive Inference For RegressionCode0
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble ForecastsCode0
Distributional Reinforcement Learning with Quantile RegressionCode0
Distribution Regression in Duration Analysis: an Application to Unemployment SpellsCode0
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)Code0
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous DataCode0
Calibrated simplex-mapping classificationCode0
An innovative adaptive kriging approach for efficient binary classification of mechanical problemsCode0
Calibration by Distribution Matching: Trainable Kernel Calibration MetricsCode0
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic RegressionCode0
Improving Levenberg-Marquardt Algorithm for Neural NetworksCode0
Calibration tests beyond classificationCode0
An integrated perspective of robustness in regression through the lens of the bias-variance trade-offCode0
Distributional conformal predictionCode0
Distributional Adaptive Soft Regression TreesCode0
Active Sampling for Min-Max FairnessCode0
A Wasserstein Minimax Framework for Mixed Linear RegressionCode0
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable ModelsCode0
An Intermediate-level Attack Framework on The Basis of Linear RegressionCode0
An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular DataCode0
Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?Code0
Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection ConstraintsCode0
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic RegressionCode0
Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?Code0
A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health RecordsCode0
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency RegularizationCode0
Infinite Width Graph Neural Networks for Node Regression/ ClassificationCode0
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support RecoveryCode0
A Multi-Horizon Quantile Recurrent ForecasterCode0
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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