SOTAVerified

regression

Papers

Showing 91519200 of 9424 papers

TitleStatusHype
Point detection through multi-instance deep heatmap regression for sutures in endoscopyCode0
Infinite Width Graph Neural Networks for Node Regression/ ClassificationCode0
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizationsCode0
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional TokensCode0
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early ClassificationCode0
A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous SolubilityCode0
Side-Aware Boundary Localization for More Precise Object DetectionCode0
Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising AutoencodersCode0
Tuning parameter calibration for prediction in personalized medicineCode0
The autofeat Python Library for Automated Feature Engineering and SelectionCode0
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative AnalysisCode0
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression modelsCode0
Repulsion Loss: Detecting Pedestrians in a CrowdCode0
Policy Evaluation with Latent Confounders via Optimal BalanceCode0
Deep spatial context: when attention-based models meet spatial regressionCode0
An algorithm-based multiple detection influence measure for high dimensional regression using expectileCode0
Choosing the Sample with Lowest Loss makes SGD RobustCode0
Subgradient Regularized Multivariate Convex Regression at ScaleCode0
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical ExamplesCode0
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?Code0
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density NetworksCode0
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL WeightsCode0
Deep Sketched Output Kernel Regression for Structured PredictionCode0
Turnstile _p leverage score sampling with applicationsCode0
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace LearningCode0
TURN TAP: Temporal Unit Regression Network for Temporal Action ProposalsCode0
Multivariate functional group sparse regression: functional predictor selectionCode0
A novel gradient-based method for decision trees optimizing arbitrary differential loss functionsCode0
Integral Human Pose RegressionCode0
Multivariate Gaussian and Student-t Process Regression for Multi-output PredictionCode0
Polynomial expansion of the binary classification functionCode0
Simple Local Polynomial Density EstimatorsCode0
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regressionCode0
Polynomial Regression As an Alternative to Neural NetsCode0
Integrating Holistic and Local Information to Estimate Emotional Reaction IntensityCode0
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and AlignmentCode0
Chirality Nets for Human Pose RegressionCode0
Multivariate regression and fit function uncertaintyCode0
Vector Quantile Regression on ManifoldsCode0
Deep Reinforced Attention Regression for Partial Sketch Based Image RetrievalCode0
ZeroShape: Regression-based Zero-shot Shape ReconstructionCode0
Integrating Uncertainty Awareness into Conformalized Quantile RegressionCode0
Polynomial Tensor Sketch for Element-wise Function of Low-Rank MatrixCode0
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific DiscoveryCode0
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank ModelsCode0
Pool-Based Sequential Active Learning for RegressionCode0
Simple Transferability Estimation for Regression TasksCode0
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear BanditsCode0
Population Empirical BayesCode0
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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