SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 9424 papers

TitleStatusHype
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models—0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction—0
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingCode2
Analysing the Behaviour of Tree-Based Neural Networks in Regression TasksCode0
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions—0
Research on Trends in Illegal Wildlife Trade based on Comprehensive Growth Dynamic Model—0
First-Order Manifold Data Augmentation for Regression LearningCode0
Stacking for Probabilistic Short-term Load Forecasting—0
Full reference point cloud quality assessment using support vector regressionCode0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Explainable AI for Comparative Analysis of Intrusion Detection ModelsCode0
An Efficient Approach to Regression Problems with Tensor Neural Networks—0
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias—0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Deep Sketched Output Kernel Regression for Structured PredictionCode0
Ridge interpolators in correlated factor regression models -- exact risk analysis—0
Noise-Aware Differentially Private Regression via Meta-LearningCode0
Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality—0
Scaling Laws in Linear Regression: Compute, Parameters, and Data—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
DecoR: Deconfounding Time Series with Robust RegressionCode0
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection—0
AutoTVG: A New Vision-language Pre-training Paradigm for Temporal Video Grounding—0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
Thunder : Unified Regression-Diffusion Speech Enhancement with a Single Reverse Step using Brownian Bridge—0
A Statistical Theory of Regularization-Based Continual Learning—0
Heterogeneous Treatment Effects in Panel DataCode0
Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech—0
Causal Interpretation of Regressions With Ranks—0
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums—0
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models—0
Accelerating evolutionary exploration through language model-based transfer learning—0
Generative modeling of density regression through tree flows—0
On Regularization via Early Stopping for Least Squares Regression—0
Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression—0
Predictability Analysis of Regression Problems via Conditional Entropy Estimations—0
A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming—0
ConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization—0
Relaxed Quantile Regression: Prediction Intervals for Asymmetric NoiseCode0
Normalizing Flows for Conformal RegressionCode0
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball LossCode1
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation—0
Coresets for Multiple _p Regression—0
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning—0
Show:102550
← PrevPage 20 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