SOTAVerified

Imputation

Substituting missing data with values according to some criteria.

Papers

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Showing 551–600 of 1237 papers

TitleStatusHype
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies—0
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations—0
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models—0
Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data—0
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit—0
Revisiting the thorny issue of missing values in single-cell proteomicsCode0
Exploring and Exploiting Uncertainty for Incomplete Multi-View ClassificationCode0
Unified Multi-Modal Image Synthesis for Missing Modality Imputation—0
Data Imputation from the Perspective of Graph Dirichlet EnergyCode0
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning—0
Multi-Linear Kernel Regression and Imputation in Data Manifolds—0
A robust deep learning-based damage identification approach for SHM considering missing data—0
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationCode0
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and PredictionCode1
Variational Inference for Longitudinal Data Using Normalizing FlowsCode0
Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes—0
Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series DataCode0
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting—0
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationCode0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
Constructing High Frequency Economic Indicators by Imputation—0
Do Machine Learning Models Learn Statistical Rules Inferred from Data?Code0
Monocular Depth Estimation using Diffusion Models—0
Grounding Graph Network Simulators using Physical Sensor ObservationsCode1
A Comparison of Modeling Preprocessing Techniques—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation—0
PriSTI: A Conditional Diffusion Framework for Spatiotemporal ImputationCode1
Transformed Distribution Matching for Missing Value ImputationCode1
Pseudo-Labeling for Kernel Ridge Regression under Covariate ShiftCode0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network—0
Variational Mixture of HyperGenerators for Learning Distributions Over FunctionsCode0
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations—0
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking—0
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks—0
Participatory Personalization in Classification—0
IRTCI: Item Response Theory for Categorical Imputation—0
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data ImputationCode1
ClueGAIN: Application of Transfer Learning On Generative Adversarial Imputation Nets (GAIN)—0
Multi-Source Diffusion Models for Simultaneous Music Generation and SeparationCode1
Conditional expectation with regularization for missing data imputationCode1
The Investment Management Game: Extending the Scope of the Notion of Core—0
Using Machine Learning to Develop Smart Reflex Testing Protocols—0
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks—0
Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition—0
Large-Scale Traffic Data Imputation with Spatiotemporal Semantic UnderstandingCode0
Incomplete Multi-view Clustering via Prototype-based ImputationCode1
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesCode1
Automatic Debiased Estimation with Machine Learning-Generated Regressors—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