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regression

Papers

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Showing 1151–1200 of 9424 papers

TitleStatusHype
Analytical results for uncertainty propagation through trained machine learning regression models—0
Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent CollaborationCode0
Semi-supervised Fréchet Regression—0
Sparse Attention Regression Network Based Soil Fertility Prediction With Ummaso—0
Map-Relative Pose Regression for Visual Re-LocalizationCode2
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance FieldCode1
Differentially Private Log-Location-Scale Regression Using Functional Mechanism—0
Conformal Prediction via Regression-as-ClassificationCode1
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing—0
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations—0
Uniform Inference in High-Dimensional Threshold Regression Models—0
Overparameterized Multiple Linear Regression as Hyper-Curve Fitting—0
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context ExamplesCode2
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
Measuring proximity to standard planes during fetal brain ultrasound scanning—0
Kermut: Composite kernel regression for protein variant effectsCode1
Regression Discontinuity Design with Spillovers—0
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning—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
BARMPy: Bayesian Additive Regression Models Python PackageCode1
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free ApproachCode0
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMCode0
Bayesian Additive Regression NetworksCode1
Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds—0
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning—0
Gaussian Process Regression with Soft Inequality and Monotonicity Constraints—0
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree—0
Universal Functional Regression with Neural Operator FlowsCode1
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Distributed and Rate-Adaptive Feature Compression—0
What is to be gained by ensemble models in analysis of spectroscopic data?Code0
Task Integration Distillation for Object Detectors—0
Optimal Ridge Regularization for Out-of-Distribution PredictionCode0
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional RegressionCode0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
Generating Content for HDR Deghosting from Frequency View—0
Minimum-Norm Interpolation Under Covariate Shift—0
Fast Orthogonal Matching Pursuit through Successive Regression—0
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profileCode0
Sparsely Multimodal Data Fusion—0
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
Video-Based Human Pose Regression via Decoupled Space-Time AggregationCode2
H-Consistency Guarantees for Regression—0
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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