| Are Attribute Inference Attacks Just Imputation? | Sep 2, 2022 | AttributeImputation | CodeCode Available | 1 |
| Traffic state data imputation: An efficient generating method based on the graph aggregator | Aug 12, 2022 | Generative Adversarial NetworkImputation | CodeCode Available | 1 |
| On Non-Random Missing Labels in Semi-Supervised Learning | Jun 29, 2022 | ImputationMissing Labels | CodeCode Available | 1 |
| STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison | Jun 23, 2022 | AutoMLBinary Classification | CodeCode Available | 1 |
| HyperImpute: Generalized Iterative Imputation with Automatic Model Selection | Jun 15, 2022 | ImputationMissing Values | CodeCode Available | 1 |
| Noise-Aware Statistical Inference with Differentially Private Synthetic Data | May 28, 2022 | ImputationSynthetic Data Generation | CodeCode Available | 1 |
| Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations | May 26, 2022 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 |
| Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns | May 19, 2022 | Cloud ComputingImputation | CodeCode Available | 1 |
| Gaussian Processes for Missing Value Imputation | Apr 10, 2022 | Gaussian ProcessesImputation | CodeCode Available | 1 |
| Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions | Mar 23, 2022 | Disease PredictionImputation | CodeCode Available | 1 |
| Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data | Mar 21, 2022 | ImputationSurvival Analysis | CodeCode Available | 1 |
| Simplicial Attention Neural Networks | Mar 14, 2022 | ImputationTrajectory Prediction | CodeCode Available | 1 |
| Missing Data Infill with Automunge | Feb 19, 2022 | Imputation | CodeCode Available | 1 |
| Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo | Feb 9, 2022 | Active LearningImputation | CodeCode Available | 1 |
| From data to functa: Your data point is a function and you can treat it like one | Jan 28, 2022 | Deep LearningImputation | CodeCode Available | 1 |
| Time Series Generation with Masked Autoencoder | Jan 14, 2022 | Data AugmentationDecoder | CodeCode Available | 1 |
| MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms | Nov 4, 2021 | Imputation | CodeCode Available | 1 |
| Identifiable Generative Models for Missing Not at Random Data Imputation | Oct 27, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| MisConv: Convolutional Neural Networks for Missing Data | Oct 26, 2021 | Image InpaintingImputation | CodeCode Available | 1 |
| Revisiting Event Study Designs: Robust and Efficient Estimation | Aug 27, 2021 | Imputation | CodeCode Available | 1 |
| Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | Jul 31, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series | Jul 29, 2021 | ImputationMortality Prediction | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 |
| DAEMA: Denoising Autoencoder with Mask Attention | Jun 30, 2021 | DenoisingImputation | CodeCode Available | 1 |
| Marginalizable Density Models | Jun 8, 2021 | Density EstimationImputation | CodeCode Available | 1 |
| Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation | May 28, 2021 | counterfactualImputation | CodeCode Available | 1 |
| Quantified Sleep: Machine learning techniques for observational n-of-1 studies | May 14, 2021 | BIG-bench Machine LearningDescriptive | CodeCode Available | 1 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 |
| 3D Human Body Reshaping with Anthropometric Modeling | Apr 5, 2021 | feature selectionImputation | CodeCode Available | 1 |
| Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions | Mar 4, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| Missing Value Imputation on Multidimensional Time Series | Mar 2, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection | Feb 17, 2021 | ImputationInstance Segmentation | CodeCode Available | 1 |
| Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers | Feb 16, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Feb 15, 2021 | ImputationTime Series | CodeCode Available | 1 |
| HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data | Feb 8, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| NRTSI: Non-Recurrent Time Series Imputation | Feb 5, 2021 | ImputationTime Series | CodeCode Available | 1 |
| Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types | Feb 4, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain | Dec 1, 2020 | Data AugmentationImputation | CodeCode Available | 1 |
| PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data | Nov 16, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Handling Missing Data with Graph Representation Learning | Oct 30, 2020 | Graph Representation LearningImputation | CodeCode Available | 1 |
| A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data | Oct 23, 2020 | Deep LearningImputation | CodeCode Available | 1 |
| TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion | Oct 7, 2020 | ImputationKnowledge Graph Completion | CodeCode Available | 1 |
| A Transformer-based Framework for Multivariate Time Series Representation Learning | Oct 6, 2020 | Computational EfficiencyGeneral Classification | CodeCode Available | 1 |
| Estimating conditional density of missing values using deep Gaussian mixture model | Oct 5, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks | Sep 18, 2020 | ImputationMissing Elements | CodeCode Available | 1 |
| DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data | Aug 5, 2020 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 1 |
| Graph Convolutional Networks for Graphs Containing Missing Features | Jul 9, 2020 | Graph LearningImputation | CodeCode Available | 1 |
| Joints in Random Forests | Jun 25, 2020 | Imputation | CodeCode Available | 1 |
| Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting | Jun 18, 2020 | ImputationMissing Values | CodeCode Available | 1 |