SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1001–1025 of 1237 papers

TitleStatusHype
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
Data Cleaning and Machine Learning: A Systematic Literature ReviewCode0
Data-Driven Copy-Paste Imputation for Energy Time SeriesCode0
Data Generation as Sequential Decision MakingCode0
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based MethodCode0
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing DataCode0
Dealing with missing data using attention and latent space regularizationCode0
Debiased Recommendation with Noisy FeedbackCode0
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learningCode0
Deep Generative Pattern-Set Mixture Models for Nonignorable MissingnessCode0
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive FrameworkCode0
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic dataCode0
Deep learning with missing dataCode0
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic ModelCode0
Generative inpainting of incomplete Euclidean distance matrices of trajectories generated by a fractional Brownian motionCode0
Diffusion model for relational inferenceCode0
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current EffectsCode0
Do Machine Learning Models Learn Statistical Rules Inferred from Data?Code0
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic ControlCode0
Doubly Calibrated Estimator for Recommendation on Data Missing Not At RandomCode0
Do We Really Need Imputation in AutoML Predictive Modeling?Code0
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?Code0
DPER: Efficient Parameter Estimation for Randomly Missing DataCode0
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in GraphsCode0
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D ImputationCode0
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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