| Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models | Aug 27, 2021 | Anomaly DetectionImputation | CodeCode Available | 0 | 5 |
| Multimodal Federated Learning With Missing Modalities through Feature Imputation Network | May 26, 2025 | Federated LearningImputation | CodeCode Available | 0 | 5 |
| Invariant debiasing learning for recommendation via biased imputation | Dec 28, 2024 | ImputationKnowledge Distillation | CodeCode Available | 0 | 5 |
| Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data | Aug 30, 2021 | Causal DiscoveryImputation | CodeCode Available | 0 | 5 |
| Influence-guided Data Augmentation for Neural Tensor Completion | Aug 23, 2021 | Data AugmentationImputation | CodeCode Available | 0 | 5 |
| Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest | Apr 23, 2020 | Imputation | CodeCode Available | 0 | 5 |
| Table Transformers for Imputing Textual Attributes | Aug 4, 2024 | ImputationMulti-Task Learning | CodeCode Available | 0 | 5 |
| Arbitrary Conditional Distributions with Energy | May 21, 2021 | Arbitrary Conditional Density EstimationDensity Estimation | CodeCode Available | 0 | 5 |
| Input Convex Neural Networks | Sep 22, 2016 | ImputationInference Optimization | CodeCode Available | 0 | 5 |
| Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data | Mar 26, 2025 | Imputation | CodeCode Available | 0 | 5 |
| Arbitrary Conditional Distributions with Energy | Feb 8, 2021 | Arbitrary Conditional Density EstimationImputation | CodeCode Available | 0 | 5 |
| CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seq | May 23, 2019 | Imputation | CodeCode Available | 0 | 5 |
| imputeTS: Time Series Missing Value Imputation in R | Jun 1, 2017 | AttributeImputation | CodeCode Available | 0 | 5 |
| CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning | Feb 6, 2025 | ImputationOutlier Detection | CodeCode Available | 0 | 5 |
| Classification of Stress via Ambulatory ECG and GSR Data | Jul 19, 2022 | ClassificationImputation | CodeCode Available | 0 | 5 |
| A Kernel-Expanded Stochastic Neural Network | Jan 14, 2022 | ImputationPrediction | CodeCode Available | 0 | 5 |
| Imputing Brain Measurements Across Data Sets via Graph Neural Networks | Aug 19, 2023 | Graph Neural NetworkImputation | CodeCode Available | 0 | 5 |
| Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series | Jan 14, 2024 | ImputationMemorization | CodeCode Available | 0 | 5 |
| A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements | May 6, 2019 | Domain AdaptationImputation | CodeCode Available | 0 | 5 |
| A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models | Jun 10, 2025 | Imputation | CodeCode Available | 0 | 5 |
| Change point detection for graphical models in the presence of missing values | Jul 11, 2019 | Change Point DetectionImputation | CodeCode Available | 0 | 5 |
| Imputation using training labels and classification via label imputation | Nov 28, 2023 | ClassificationImputation | CodeCode Available | 0 | 5 |
| Imputing missing values with unsupervised random trees | Nov 15, 2019 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families | Mar 5, 2024 | Imputation | CodeCode Available | 0 | 5 |
| Imputation and low-rank estimation with Missing Not At Random data | Dec 29, 2018 | ImputationMatrix Completion | CodeCode Available | 0 | 5 |
| CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation | May 23, 2019 | ImputationMachine Translation | CodeCode Available | 0 | 5 |
| CDR: Conservative Doubly Robust Learning for Debiased Recommendation | Aug 13, 2023 | ImputationRecommendation Systems | CodeCode Available | 0 | 5 |
| A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data | Mar 3, 2021 | Bayesian InferenceImputation | CodeCode Available | 0 | 5 |
| Gradient Importance Learning for Incomplete Observations | Jul 5, 2021 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers | Nov 1, 2022 | FairnessImputation | CodeCode Available | 0 | 5 |
| Improving Missing Data Imputation with Deep Generative Models | Feb 27, 2019 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Improving random walk rankings with feature selection and imputation | Nov 29, 2021 | feature selectionImputation | CodeCode Available | 0 | 5 |
| Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness | Aug 13, 2022 | FairnessImputation | CodeCode Available | 0 | 5 |
| Imputing typological values via phylogenetic inference | Nov 1, 2020 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model | Aug 13, 2019 | Active LearningBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model | Dec 1, 2019 | BIG-bench Machine LearningImputation | CodeCode Available | 0 | 5 |
| HexaGAN: Generative Adversarial Nets for Real World Classification | Feb 26, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| 3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems | Jan 29, 2024 | Generative Adversarial NetworkImputation | CodeCode Available | 0 | 5 |
| Handling Missing Values in Local Post-hoc Explainability | Oct 21, 2023 | Decision MakingFeature Importance | CodeCode Available | 0 | 5 |
| Hard and Soft EM in Bayesian Network Learning from Incomplete Data | Dec 9, 2020 | Imputation | CodeCode Available | 0 | 5 |
| BRITS: Bidirectional Recurrent Imputation for Time Series | May 27, 2018 | General ClassificationImputation | CodeCode Available | 0 | 5 |
| HeMIS: Hetero-Modal Image Segmentation | Jul 18, 2016 | Image SegmentationImputation | CodeCode Available | 0 | 5 |
| Image Inpainting Using Wasserstein Generative Adversarial Imputation Network | Jun 23, 2021 | Image InpaintingImputation | CodeCode Available | 0 | 5 |
| Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales | Dec 24, 2024 | Graph structure learningImputation | CodeCode Available | 0 | 5 |
| Graph Markov Network for Traffic Forecasting with Missing Data | Dec 10, 2019 | Edge-computingImputation | CodeCode Available | 0 | 5 |
| Graph-Based Semi-Supervised Learning with Non-ignorable Non-response | Dec 1, 2019 | General ClassificationImputation | CodeCode Available | 0 | 5 |
| ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data | May 16, 2025 | ImputationMissing Values | CodeCode Available | 0 | 5 |
| GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries | Nov 6, 2024 | ImputationSynthetic Data Generation | CodeCode Available | 0 | 5 |
| Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data | May 10, 2025 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 0 | 5 |
| Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data | Feb 1, 2018 | DiversityImputation | CodeCode Available | 0 | 5 |