SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 201–250 of 1237 papers

TitleStatusHype
Imputing Brain Measurements Across Data Sets via Graph Neural NetworksCode0
A Missing Data Imputation GAN for Character Sprite GenerationCode0
imputeTS: Time Series Missing Value Imputation in RCode0
Imputing missing values with unsupervised random treesCode0
Leveraging text data for causal inference using electronic health recordsCode0
Imputation Strategies Under Clinical Presence: Impact on Algorithmic FairnessCode0
Gradient Importance Learning for Incomplete ObservationsCode0
Imputation using training labels and classification via label imputationCode0
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational FamiliesCode0
Conditional Information Bottleneck Approach for Time Series ImputationCode0
Imputation and low-rank estimation with Missing Not At Random dataCode0
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time SeriesCode0
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node ClassifiersCode0
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance EstimationsCode0
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoMLCode0
Improving random walk rankings with feature selection and imputationCode0
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral SamplingCode0
Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkCode0
Completing Single-Cell DNA Methylome Profiles via Transfer Learning Together With KL-DivergenceCode0
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weightingCode0
A-DARTS: Stable Model Selection for Data Repair in Time SeriesCode0
Improving Missing Data Imputation with Deep Generative ModelsCode0
HexaGAN: Generative Adversarial Nets for Real World ClassificationCode0
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing DataCode0
Asynchronous Graph GeneratorCode0
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRsCode0
Imputing typological values via phylogenetic inferenceCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
Combining datasets to increase the number of samples and improve model fittingCode0
Influence-guided Data Augmentation for Neural Tensor CompletionCode0
Integrated Analysis for Electronic Health Records with Structured and Sporadic MissingnessCode0
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian ProcessesCode0
HeMIS: Hetero-Modal Image SegmentationCode0
Convolve and Conquer: Data Comparison with Wiener FiltersCode0
Handling Incomplete Heterogeneous Data using VAEsCode0
CollaGAN : Collaborative GAN for Missing Image Data ImputationCode0
GUIDE-VAE: Advancing Data Generation with User Information and Pattern DictionariesCode0
Auditing Black-Box Prediction Models for Data Minimization ComplianceCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
A Modulation Layer to Increase Neural Network Robustness Against Data Quality IssuesCode0
Graph-Based Semi-Supervised Learning with Non-ignorable Non-responseCode0
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparisonCode0
Ghost Imputation: Accurately Reconstructing Missing Data of the Off PeriodCode0
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics DataCode0
Autoencoder-based Attribute Noise Handling Method for Medical DataCode0
CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 PatientsCode0
Addressing Correlated Latent Exogenous Variables in Debiased Recommender SystemsCode0
Geometry- and Accuracy-Preserving Random Forest ProximitiesCode0
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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