SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3751–3800 of 9424 papers

TitleStatusHype
Generalized Factor Neural Network Model for High-dimensional Regression—0
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression—0
Error analysis of regularized least-square regression with Fredholm kernel—0
Generalized Information Criteria for Structured Sparse Models—0
Error Analysis of Generalized Nyström Kernel Regression—0
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection—0
Kernel methods for long term dose response curves—0
Generalized Learning with Rejection for Classification and Regression Problems—0
Generalized Leverage Score Sampling for Neural Networks—0
Generalized Linear Model Regression under Distance-to-set Penalties—0
Generalized Linear Models with Structured Sparsity Estimators—0
Generalized Linear Rule Models—0
Calibrated Reliable Regression using Maximum Mean Discrepancy—0
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory—0
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy—0
Generalized Quantile Loss for Deep Neural Networks—0
Adversarially Robust Estimate and Risk Analysis in Linear Regression—0
A Consistent Estimator for Confounding Strength—0
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers—0
ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels—0
Generalized support vector regression: duality and tensor-kernel representation—0
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting—0
Generalizing the SINDy approach with nested neural networks—0
General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks—0
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees—0
Calibrated Multivariate Regression with Localized PIT Mappings—0
Equivalence of Learning Algorithms—0
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators—0
Equivalence of Kernel Machine Regression and Kernel Distance Covariance for Multidimensional Trait Association Studies—0
Generating Realistic Natural Language Counterfactuals—0
Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals—0
Generating Unobserved Alternatives—0
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery—0
An Improved Deep Belief Network Model for Road Safety Analyses—0
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors—0
An Improved Composite Functional Gradient Learning by Wasserstein Regularization for Generative adversarial networks—0
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing—0
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models—0
An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques—0
Adversarial Networks for Camera Pose Regression and Refinement—0
A consistent deterministic regression tree for non-parametric prediction of time series—0
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more—0
A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset—0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations—0
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study—0
Ensemble Nystrom Method—0
Ensemble Multi-task Gaussian Process Regression with Multiple Latent Processes—0
Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis—0
Geographic Difference-in-Discontinuities—0
Byzantine Fault Tolerant Distributed Linear Regression—0
Show:102550
← PrevPage 76 of 189Next →
All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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