SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 351–400 of 1237 papers

TitleStatusHype
Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic DataCode0
Deep learning with missing dataCode0
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in HealthcareCode0
Missingness Augmentation: A General Approach for Improving Generative Imputation ModelsCode0
HexaGAN: Generative Adversarial Nets for Real World ClassificationCode0
Efficient HLA imputation from sequential SNPs data by TransformerCode0
CDR: Conservative Doubly Robust Learning for Debiased RecommendationCode0
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare DataCode0
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series ImputationCode0
Fast model-based clustering of partial recordsCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
Embedding Imputation with Grounded Language InformationCode0
Embedding Multimodal Relational Data for Knowledge Base CompletionCode0
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic dataCode0
Bayesian Simultaneous Factorization and Prediction Using Multi-Omic DataCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Enhancing Domain Word Embedding via Latent Semantic ImputationCode0
Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic DecompositionCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errorsCode0
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive FrameworkCode0
Multiple Linked Tensor FactorizationCode0
Classification of Stress via Ambulatory ECG and GSR DataCode0
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing DataCode0
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learningCode0
Deep Generative Pattern-Set Mixture Models for Nonignorable MissingnessCode0
Handling Incomplete Heterogeneous Data using VAEsCode0
CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seqCode0
Clustering Rooftop PV Systems via Probabilistic EmbeddingsCode0
GUIDE-VAE: Advancing Data Generation with User Information and Pattern DictionariesCode0
HeMIS: Hetero-Modal Image SegmentationCode0
Input Convex Neural NetworksCode0
Evaluating the Impact of Intensity Normalization on MR Image SynthesisCode0
Table Transformers for Imputing Textual AttributesCode0
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning ApproachesCode0
Online Estimation of Similarity Matrices with Incomplete DataCode0
On the consistency of supervised learning with missing valuesCode0
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme ClassificationCode0
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insightCode0
Optimal Transport for Structure Learning Under Missing DataCode0
Graph-Based Semi-Supervised Learning with Non-ignorable Non-responseCode0
Partial Channel Dependence with Channel Masks for Time Series Foundation ModelsCode0
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
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learningCode0
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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