SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 676–700 of 1237 papers

TitleStatusHype
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation—0
Pseudo-Labeling for Kernel Ridge Regression under Covariate ShiftCode0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network—0
Variational Mixture of HyperGenerators for Learning Distributions Over FunctionsCode0
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations—0
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking—0
IRTCI: Item Response Theory for Categorical Imputation—0
Participatory Personalization in Classification—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)—0
The Investment Management Game: Extending the Scope of the Notion of Core—0
Using Machine Learning to Develop Smart Reflex Testing Protocols—0
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks—0
Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition—0
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic UnderstandingCode0
Automatic Debiased Estimation with Machine Learning-Generated Regressors—0
Ae^2I: A Double Autoencoder for Imputation of Missing Values—0
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction—0
Modeling Sequential Recommendation as Missing Information ImputationCode0
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets—0
Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction—0
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
Explainability as statistical inference—0
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All datasetsHMNISTPhysioNet Challenge 2012Sprites

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)AUROC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1GP-VAE (B-NLST)MSE0—Unverified