| Data Imputation with Iterative Graph Reconstruction | Dec 6, 2022 | Data Imputation 70%Graph Generation | CodeCode Available | 1 | 5 |
| Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information | Nov 2, 2023 | ImputationKnowledge Graph Completion | CodeCode Available | 1 | 5 |
| Noise-Aware Statistical Inference with Differentially Private Synthetic Data | May 28, 2022 | ImputationSynthetic Data Generation | CodeCode Available | 1 | 5 |
| Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets | Jul 16, 2024 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent | May 27, 2024 | ImputationMamba | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data | Nov 16, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Joints in Random Forests | Jun 25, 2020 | Imputation | CodeCode Available | 1 | 5 |
| Federated Foundation Models on Heterogeneous Time Series | Dec 12, 2024 | Anomaly DetectionFederated Learning | CodeCode Available | 1 | 5 |
| Improving Retrieval-Augmented Large Language Models via Data Importance Learning | Jul 6, 2023 | ImputationQuestion Answering | CodeCode Available | 1 | 5 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation | Feb 20, 2023 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 | 5 |
| ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation | Dec 4, 2023 | ImputationInductive Bias | CodeCode Available | 1 | 5 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 | 5 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Age-structured impact of social distancing on the COVID-19 epidemic in India | Mar 26, 2020 | Imputation | CodeCode Available | 1 | 5 |
| Quantified Sleep: Machine learning techniques for observational n-of-1 studies | May 14, 2021 | BIG-bench Machine LearningDescriptive | CodeCode Available | 1 | 5 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 | 5 |
| Conditional expectation with regularization for missing data imputation | Feb 2, 2023 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Imputer: Sequence Modelling via Imputation and Dynamic Programming | Feb 20, 2020 | Imputationspeech-recognition | CodeCode Available | 1 | 5 |
| Missing Data Imputation using Optimal Transport | Feb 10, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty | May 30, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers | Feb 16, 2021 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Traffic state data imputation: An efficient generating method based on the graph aggregator | Aug 12, 2022 | Generative Adversarial NetworkImputation | CodeCode Available | 1 | 5 |
| Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation | May 28, 2021 | counterfactualImputation | CodeCode Available | 1 | 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 |
| Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model | Aug 13, 2019 | Active LearningBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems | Jun 9, 2025 | FairnessImputation | CodeCode Available | 0 | 5 |
| Autoencoder-based Attribute Noise Handling Method for Medical Data | Jun 20, 2022 | AttributeImputation | CodeCode Available | 0 | 5 |
| Image Inpainting Using Wasserstein Generative Adversarial Imputation Network | Jun 23, 2021 | Image InpaintingImputation | CodeCode Available | 0 | 5 |
| A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks | Oct 10, 2024 | FairnessImage Captioning | CodeCode Available | 0 | 5 |
| A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues | Jul 19, 2021 | Imputation | CodeCode Available | 0 | 5 |
| Auditing Black-Box Prediction Models for Data Minimization Compliance | Dec 1, 2021 | ImputationPrediction | 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 |
| Handling Incomplete Heterogeneous Data using VAEs | Jul 10, 2018 | Imputation | CodeCode Available | 0 | 5 |
| HeMIS: Hetero-Modal Image Segmentation | Jul 18, 2016 | Image SegmentationImputation | 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 |
| Asynchronous Graph Generator | Sep 29, 2023 | Data AugmentationGraph Attention | CodeCode Available | 0 | 5 |
| A Missing Data Imputation GAN for Character Sprite Generation | Sep 16, 2024 | Imputation | 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 |
| HexaGAN: Generative Adversarial Nets for Real World Classification | Feb 26, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Ghost Imputation: Accurately Reconstructing Missing Data of the Off Period | May 3, 2020 | Imputation | CodeCode Available | 0 | 5 |
| Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View | Mar 21, 2024 | Imputation | CodeCode Available | 0 | 5 |
| Geometry- and Accuracy-Preserving Random Forest Proximities | Jan 29, 2022 | Data VisualizationImputation | CodeCode Available | 0 | 5 |
| GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets | Jun 6, 2023 | Imputation | CodeCode Available | 0 | 5 |
| A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML | Dec 11, 2023 | AutoMLfeature selection | CodeCode Available | 0 | 5 |
| Generating Synthetic Data with Locally Estimated Distributions for Disclosure Control | Oct 3, 2022 | ClusteringHyperparameter Optimization | CodeCode Available | 0 | 5 |