SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 1237 papers

TitleStatusHype
Handling Missing Data with Graph Representation LearningCode1
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web DataCode1
Identifiable Generative Models for Missing Not at Random Data ImputationCode1
Estimating conditional density of missing values using deep Gaussian mixture modelCode1
Improving Retrieval-Augmented Large Language Models via Data Importance LearningCode1
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal ImputationCode1
3D Human Body Reshaping with Anthropometric ModelingCode1
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income CommunitiesCode1
Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large DimensionsCode1
A Multi-Scale Decomposition MLP-Mixer for Time Series AnalysisCode1
Joints in Random ForestsCode1
FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh RetailCode1
Age-structured impact of social distancing on the COVID-19 epidemic in IndiaCode1
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate EstimationCode1
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
Diffusion models for missing value imputation in tabular dataCode1
Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion ModelsCode1
From data to functa: Your data point is a function and you can treat it like oneCode1
Deep Gaussian Process Emulation using Stochastic ImputationCode1
Deciphering Movement: Unified Trajectory Generation Model for Multi-AgentCode1
DAEMA: Denoising Autoencoder with Mask AttentionCode1
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series ImputationCode1
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor DataCode1
Confidence-Based Feature Imputation for Graphs with Partially Known FeaturesCode1
Conditional expectation with regularization for missing data imputationCode1
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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