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regression

Papers

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Showing 3701–3750 of 9424 papers

TitleStatusHype
A Machine Learning Data Fusion Model for Soil Moisture Retrieval—0
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models—0
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks—0
MultiEarth 2022 -- The Champion Solution for the Matrix Completion Challenge via Multimodal Regression and Generation—0
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models—0
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their InterplayCode0
Beyond Ridge Regression for Distribution-Free Data—0
Active Nearest Neighbor Regression Through Delaunay Refinement—0
Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive LossesCode0
On the well-spread property and its relation to linear regression—0
Differentially Private Multi-Party Data Release for Linear Regression—0
AI-Based Channel Prediction in D2D Links: An Empirical Validation—0
Large-width asymptotics for ReLU neural networks with α-Stable initializations—0
Theory of Machine Learning with Limited Data—0
Global Convergence of Federated Learning for Mixed Regression—0
Detection of magnetohydrodynamic waves by using machine learning—0
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates—0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images—0
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models—0
FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text DocumentsCode0
ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity AssessmentCode0
MBGDT:Robust Mini-Batch Gradient DescentCode0
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training—0
Reconstructing vehicles from orthographic drawings using deep neural networks—0
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR ImagesCode0
Machine Learning Training on a Real Processing-in-Memory System—0
Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process—0
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from DataCode0
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms—0
IGN : Implicit Generative NetworksCode0
Concurrent Learning Based Adaptive Control of Euler Lagrange Systems with Guaranteed Parameter Convergence—0
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms—0
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks—0
Gradient Boosting Performs Gaussian Process InferenceCode0
Conformal Prediction Intervals for Markov Decision Process Trajectories—0
The leaky integrator that could: Or recursive polynomial regression for online signal analysis—0
On Hypothesis Transfer Learning of Functional Linear Models—0
Overcoming the Spectral Bias of Neural Value Approximation—0
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models—0
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional RegressionCode0
On gradient descent training under data augmentation with on-line noisy copies—0
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified SketchesCode0
TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression—0
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks—0
Certifying Data-Bias Robustness in Linear Regression—0
How does overparametrization affect performance on minority groups?Code0
Decentralized Online Regularized Learning Over Random Time-Varying Graphs—0
Deep Learning-based Finite Element Analysis (FEA) surrogate for sub-sea pressure vessel—0
DeeprETA: An ETA Post-processing System at Scale—0
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling—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