SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 1237 papers

TitleStatusHype
Data Generation as Sequential Decision MakingCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkCode0
Improving Missing Data Imputation with Deep Generative ModelsCode0
HexaGAN: Generative Adversarial Nets for Real World ClassificationCode0
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal QuantilesCode0
HeMIS: Hetero-Modal Image SegmentationCode0
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
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Addressing Discretization-Induced Bias in Demographic PredictionCode0
Hard and Soft EM in Bayesian Network Learning from Incomplete DataCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
Unveiling the Secrets: How Masking Strategies Shape Time Series ImputationCode0
Improving random walk rankings with feature selection and imputationCode0
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathologyCode0
Convolve and Conquer: Data Comparison with Wiener FiltersCode0
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise ModelsCode0
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationCode0
Variational Autoencoder with Arbitrary ConditioningCode0
Variational Inference for Longitudinal Data Using Normalizing FlowsCode0
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationCode0
Correlating Variational Autoencoders Natively For Multi-View ImputationCode0
VEXAS: VISTA EXtension to Auxiliary Surveys - Data Release 2. Machine-learning based classification of sources in the Southern HemisphereCode0
Customer Price Sensitivities in Competitive Automobile Insurance Markets—0
Automated data processing and feature engineering for deep learning and big data applications: a survey—0
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization—0
CrowdMI: Multiple Imputation via Crowdsourcing—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
An Admissible Shift-Consistent Method for Recommender Systems—0
Handling missing data in model-based clustering—0
Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation—0
Handling missing data in Burundian sovereign bond market—0
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models—0
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation—0
An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics—0
Graph Signal Adaptive Message Passing—0
Graph Sanitation with Application to Node Classification—0
Graph Neural Processes: Towards Bayesian Graph Neural Networks—0
Covariance Decomposition for Distance Based Species Tree Estimation—0
Graph Neural Network approaches for single-cell data: A recent overview—0
Algorithmic Recourse with Missing Values—0
Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes—0
Gower's similarity coefficients with automatic weight selection—0
Guided Motion Diffusion for Controllable Human Motion Synthesis—0
CATE Estimation With Potential Outcome Imputation From Local Regression—0
GIG: Graph Data Imputation With Graph Differential Dependencies—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
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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