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regression

Papers

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Showing 9251–9300 of 9424 papers

TitleStatusHype
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel RegressionCode0
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free ApproachCode0
Attention layers provably solve single-location regressionCode0
Rethinking the Misalignment Problem in Dense Object DetectionCode0
Intrinsic shape analysis in archaeology: A case study on ancient sundialsCode0
Attention-based Interpretable Regression of Gene Expression in HistologyCode0
DeepPose: Human Pose Estimation via Deep Neural NetworksCode0
Nearness of Neighbors Attention for Regression in Supervised FinetuningCode0
Eliminating Quantization Errors in Classification-Based Sound Source LocalizationCode0
Practical and Rigorous Uncertainty Bounds for Gaussian Process RegressionCode0
Attack-Resistant Federated Learning with Residual-based ReweightingCode0
Deep Ordinal Regression for Pledge Specificity PredictionCode0
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood MaximizationCode0
Deep Neural Networks for Survival Analysis Based on a Multi-Task FrameworkCode0
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data StreamsCode0
Practical Coreset Constructions for Machine LearningCode0
The Conditioning Bias in Binary Decision Trees and Random Forests and Its EliminationCode0
Deep Neural Networks for Estimation and InferenceCode0
Invertible Network for Classification and Biomarker Selection for ASDCode0
Retrieval of Case 2 Water Quality Parameters with Machine LearningCode0
Towards aerodynamic surrogate modeling based on β-variational autoencodersCode0
On minimizing the training set fill distance in machine learning regressionCode0
Towards a mathematical framework to inform Neural Network modelling via Polynomial RegressionCode0
Investigating the Histogram Loss in RegressionCode0
Dynamics of Local Elasticity During Training of Neural NetsCode0
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensemblesCode0
Near-Polynomially Competitive Active Logistic RegressionCode0
PredDiff: Explanations and Interactions from Conditional ExpectationsCode0
Retrospective Uncertainties for Deep Models using Vine CopulasCode0
Returning The Favour: When Regression Benefits From Probabilistic Causal KnowledgeCode0
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised LearningCode0
IRNet: A General Purpose Deep Residual Regression Framework for Materials DiscoveryCode0
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared TaskCode0
An interpretable neural network-based non-proportional odds model for ordinal regressionCode0
Towards a Systematic Approach to Design New Ensemble Learning AlgorithmsCode0
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric UncertaintyCode0
Nested conformal prediction and quantile out-of-bag ensemble methodsCode0
Towards a Unified Analysis of Kernel-based Methods Under Covariate ShiftCode0
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic ResponsesCode0
The Curious Case of Logistic Regression for Italian Languages and Dialects IdentificationCode0
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured InteractionsCode0
Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statisticsCode0
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information BottleneckCode0
Issues with Neural Tangent Kernel Approach to Neural NetworksCode0
Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domainCode0
Unified SVM Algorithm Based on LS-DC LossCode0
Celestial Machine Learning: From Data to Mars and Beyond with AI FeynmanCode0
iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic TraitsCode0
Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI FeynmanCode0
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus imagesCode0
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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