| MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information | Mar 5, 2023 | Missing ValuesVariational Inference | CodeCode Available | 0 |
| Constructing High Frequency Economic Indicators by Imputation | Mar 3, 2023 | counterfactualImputation | —Unverified | 0 |
| A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping | Feb 27, 2023 | Clinical KnowledgeClustering | —Unverified | 0 |
| PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation | Feb 20, 2023 | ImputationMissing Values | CodeCode Available | 1 |
| Transformed Distribution Matching for Missing Value Imputation | Feb 20, 2023 | ImputationMissing Values | CodeCode Available | 1 |
| Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations | Feb 13, 2023 | Autonomous DrivingDisaster Response | —Unverified | 0 |
| Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking | Feb 10, 2023 | BenchmarkingDeep Learning | —Unverified | 0 |
| REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines | Feb 9, 2023 | Missing Values | CodeCode Available | 1 |
| IRTCI: Item Response Theory for Categorical Imputation | Feb 8, 2023 | ImputationMissing Values | —Unverified | 0 |
| Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation | Feb 6, 2023 | Computational EfficiencyImputation | CodeCode Available | 1 |
| Federated Survival Forests | Feb 6, 2023 | Federated LearningMissing Values | CodeCode Available | 0 |
| LExecutor: Learning-Guided Execution | Feb 5, 2023 | Missing Values | CodeCode Available | 1 |
| Matrix Estimation for Individual Fairness | Feb 4, 2023 | FairnessMissing Values | —Unverified | 0 |
| Conditional expectation with regularization for missing data imputation | Feb 2, 2023 | ImputationMissing Values | CodeCode Available | 1 |
| Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting | Feb 1, 2023 | Missing ValuesRecommendation Systems | —Unverified | 0 |
| Hybrid Probabilistic Logic Programming: Inference and Learning | Feb 1, 2023 | Missing Values | —Unverified | 0 |
| Multidimensional dynamic factor models | Jan 29, 2023 | Missing ValuesTime Series | —Unverified | 0 |
| Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions | Jan 27, 2023 | FairnessMissing Values | —Unverified | 0 |
| Ae^2I: A Double Autoencoder for Imputation of Missing Values | Jan 16, 2023 | ImputationMissing Values | —Unverified | 0 |
| SOTAB: The WDC Schema.org Table Annotation Benchmark | Jan 9, 2023 | Columns Property AnnotationColumn Type Annotation | CodeCode Available | 0 |
| Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets | Jan 2, 2023 | DenoisingImputation | —Unverified | 0 |
| Tensor PCA for Factor Models | Dec 26, 2022 | Missing Values | —Unverified | 0 |
| Graph Convolutional Networks for Traffic Forecasting with Missing Values | Dec 13, 2022 | Graph LearningMissing Values | CodeCode Available | 1 |
| Data Imputation with Iterative Graph Reconstruction | Dec 6, 2022 | Data Imputation 70%Graph Generation | CodeCode Available | 1 |
| Deduplication Over Heterogeneous Attribute Types (D-HAT) | Nov 24, 2022 | AttributeClustering | CodeCode Available | 0 |