SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1900 of 9424 papers

TitleStatusHype
Semi-supervised Fréchet Regression—0
Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent CollaborationCode0
Differentially Private Log-Location-Scale Regression Using Functional Mechanism—0
Overparameterized Multiple Linear Regression as Hyper-Curve Fitting—0
Uniform Inference in High-Dimensional Threshold Regression Models—0
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing—0
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations—0
Measuring proximity to standard planes during fetal brain ultrasound scanning—0
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values—0
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning—0
Regression Discontinuity Design with Spillovers—0
Minimum variance threshold for epsilon-lexicase selectionCode0
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set—0
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive HashingCode0
Maximally Forward-Looking Core Inflation—0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free ApproachCode0
Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds—0
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMCode0
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning—0
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree—0
Gaussian Process Regression with Soft Inequality and Monotonicity Constraints—0
Distributed and Rate-Adaptive Feature Compression—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Task Integration Distillation for Object Detectors—0
What is to be gained by ensemble models in analysis of spectroscopic data?Code0
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression—0
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional RegressionCode0
Optimal Ridge Regularization for Out-of-Distribution PredictionCode0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Generating Content for HDR Deghosting from Frequency View—0
Minimum-Norm Interpolation Under Covariate Shift—0
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profileCode0
Sparsely Multimodal Data Fusion—0
Fast Orthogonal Matching Pursuit through Successive Regression—0
DeepSample: DNN sampling-based testing for operational accuracy assessment—0
On Causal Inference with Model-Based OutcomesCode0
H-Consistency Guarantees for Regression—0
Regression with Multi-Expert Deferral—0
Scaling up ridge regression for brain encoding in a massive individual fMRI datasetCode0
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance EstimationCode0
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes—0
"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling—0
Optimal convex M-estimation via score matching—0
Multi-attention Associate Prediction Network for Visual Tracking—0
ANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process—0
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization—0
Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks—0
Show:102550
← PrevPage 38 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