SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–975 of 1237 papers

TitleStatusHype
Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation—0
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor DataCode1
Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in OnTheMap—0
Predicting feature imputability in the absence of ground truth—0
Graph Convolutional Networks for Graphs Containing Missing FeaturesCode1
An Efficient Data Imputation Technique for Human Activity Recognition—0
Does imputation matter? Benchmark for predictive models—0
NeuMiss networks: differentiable programming for supervised learning with missing values—0
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting—0
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data—0
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values—0
Joints in Random ForestsCode1
On Multivariate Singular Spectrum Analysis and its Variants—0
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network—0
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian CopulaCode1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series ForecastingCode1
Longitudinal Variational Autoencoder—0
Analytical Probability Distributions and EM-Learning for Deep Generative Networks—0
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor ProjectionsCode1
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning—0
VAEs in the Presence of Missing DataCode1
Handling missing data in model-based clustering—0
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data—0
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation—0
Path Imputation Strategies for Signature Models of Irregular Time SeriesCode0
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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