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regression

Papers

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Showing 6051–6100 of 9424 papers

TitleStatusHype
Learning temporal evolution of probability distribution with Recurrent Neural Network—0
Learning the Kernel for Classification and Regression—0
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network—0
Learning Theory of Distribution Regression with Neural Networks—0
Learning the Synthesizability of Dynamic Texture Samples—0
Learning to Estimate Epistemic Uncertainty in Neural Networks—0
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials—0
Unsupervised Path Regression Networks—0
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data—0
Learning to Learn to Predict Performance Regressions in Production at Meta—0
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression—0
Learning to Plan via a Multi-Step Policy Regression Method—0
Learning to Predict More Accurate Text Instances for Scene Text Detection—0
Learning to Predict the 3D Layout of a Scene—0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Learning to Rank for Synthesizing Planning Heuristics—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
Learning to Solve Related Linear Systems—0
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing—0
Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries—0
Learning Treatment Representations for Downstream Instrumental Variable Regression—0
Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain—0
Learning What Not to Model: Gaussian Process Regression with Negative Constraints—0
Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise—0
Learning with Exact Invariances in Polynomial Time—0
Learning with Square Loss: Localization through Offset Rademacher Complexity—0
Least Angle Regression in Tangent Space and LASSO for Generalized Linear Models—0
Least-Squares Linear Dilation-Erosion Regressor Trained using a Convex-Concave Procedure—0
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms—0
Lecture Notes on High Dimensional Linear Regression—0
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs—0
LENS: Localization enhanced by NeRF synthesis—0
Lepskii Principle for Distributed Kernel Ridge Regression—0
Lessons learned from the AutoML challenge—0
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation—0
Levenshtein Distance Embedding with Poisson Regression for DNA Storage—0
Leveraged volume sampling for linear regression—0
Leverage Ratio: An empirical study of the European banking system—0
Leverage Score Sampling for Faster Accelerated Regression and ERM—0
Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech—0
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network—0
Leveraging Equivariant Features for Absolute Pose Regression—0
Leveraging Historical Data for High-Dimensional Regression Adjustment, a Composite Covariate Approach—0
Text Descriptions are Compressive and Invariant Representations for Visual Learning—0
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization—0
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift—0
Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns—0
Leveraging Stereo Matching With Learning-Based Confidence Measures—0
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem—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