SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 401–450 of 1237 papers

TitleStatusHype
Learning from Incomplete Features by Simultaneous Training of Neural Networks and Sparse CodingCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
Exploring and Exploiting Uncertainty for Incomplete Multi-View ClassificationCode0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkCode0
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learningCode0
Fair Classification with Adversarial PerturbationsCode0
BAMITA: Bayesian Multiple Imputation for Tensor ArraysCode0
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised LearningCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing DataCode0
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node ClassifiersCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
Debiased Recommendation with Noisy FeedbackCode0
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream ClassificationCode0
Completing Single-Cell DNA Methylome Profiles via Transfer Learning Together With KL-DivergenceCode0
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type DataCode0
HeMIS: Hetero-Modal Image SegmentationCode0
SAVAE: Leveraging the variational Bayes autoencoder for survival analysisCode0
scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq ImputationCode0
Dealing with missing data using attention and latent space regularizationCode0
GUIDE-VAE: Advancing Data Generation with User Information and Pattern DictionariesCode0
Graph Markov Network for Traffic Forecasting with Missing DataCode0
Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series DataCode0
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural NetworksCode0
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature ScalesCode0
Handling Incomplete Heterogeneous Data using VAEsCode0
Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing DataCode0
HexaGAN: Generative Adversarial Nets for Real World ClassificationCode0
Geometry- and Accuracy-Preserving Random Forest ProximitiesCode0
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal ViewCode0
Ghost Imputation: Accurately Reconstructing Missing Data of the Off PeriodCode0
A Variational Autoencoder for Heterogeneous Temporal and Longitudinal DataCode0
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsCode0
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing DataCode0
Flexible variable selection in the presence of missing dataCode0
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based MethodCode0
Generating Synthetic Data with Locally Estimated Distributions for Disclosure ControlCode0
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
Data Generation as Sequential Decision MakingCode0
Graph-Based Semi-Supervised Learning with Non-ignorable Non-responseCode0
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal QuantilesCode0
Gegenbauer Graph Neural Networks for Time-varying Signal ReconstructionCode0
Foundation Models for Generalist Geospatial Artificial IntelligenceCode0
Data-Driven Copy-Paste Imputation for Energy Time SeriesCode0
Data Cleaning and Machine Learning: A Systematic Literature ReviewCode0
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)Code0
Generalized Least Squares Kernelized Tensor FactorizationCode0
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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