SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1075 of 1237 papers

TitleStatusHype
Foundation Models for Generalist Geospatial Artificial IntelligenceCode0
From Abstract to Actionable: Pairwise Shapley Values for Explainable AICode0
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal QuantilesCode0
Gegenbauer Graph Neural Networks for Time-varying Signal ReconstructionCode0
Generalized Least Squares Kernelized Tensor FactorizationCode0
Generalized Simplicial Attention Neural NetworksCode0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal ViewCode0
Geometry- and Accuracy-Preserving Random Forest ProximitiesCode0
Ghost Imputation: Accurately Reconstructing Missing Data of the Off PeriodCode0
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsCode0
Graph-Based Semi-Supervised Learning with Non-ignorable Non-responseCode0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesCode0
GUIDE-VAE: Advancing Data Generation with User Information and Pattern DictionariesCode0
Handling Incomplete Heterogeneous Data using VAEsCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
HeMIS: Hetero-Modal Image SegmentationCode0
HexaGAN: Generative Adversarial Nets for Real World ClassificationCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkCode0
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node ClassifiersCode0
Improving Missing Data Imputation with Deep Generative ModelsCode0
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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