| RefiDiff: Refinement-Aware Diffusion for Efficient Missing Data Imputation | May 20, 2025 | DenoisingImputation | —Unverified | 0 | 0 |
| Regularising Deep Networks with Deep Generative Models | Sep 25, 2019 | Data AugmentationImputation | —Unverified | 0 | 0 |
| Relational Reasoning Network (RRN) for Anatomical Landmarking | Apr 8, 2019 | ImputationInformativeness | —Unverified | 0 | 0 |
| Relay Variational Inference: A Method for Accelerated Encoderless VI | Oct 26, 2021 | ImputationVariational Inference | —Unverified | 0 | 0 |
| ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals | Apr 29, 2021 | BIG-bench Machine Learningfeature selection | —Unverified | 0 | 0 |
| A novel feature selection framework for incomplete data | Dec 7, 2023 | Feature Importancefeature selection | —Unverified | 0 | 0 |
| Representation Learning for Wearable-Based Applications in the Case of Missing Data | Jan 8, 2024 | ImputationRepresentation Learning | —Unverified | 0 | 0 |
| A convolution recurrent autoencoder for spatio-temporal missing data imputation | Apr 29, 2019 | ImputationMultivariate Time Series Imputation | —Unverified | 0 | 0 |
| Polar Encoding: A Simple Baseline Approach for Classification with Missing Values | Oct 4, 2022 | AttributeDenoising | —Unverified | 0 | 0 |
| Resilient Neural Forecasting Systems | Mar 16, 2022 | ImputationMissing Values | —Unverified | 0 | 0 |
| A Convexified Matching Approach to Imputation and Individualized Inference | Jul 7, 2024 | counterfactualImputation | —Unverified | 0 | 0 |
| A nonparametric HMM for genetic imputation and coalescent inference | Nov 2, 2016 | Imputation | —Unverified | 0 | 0 |
| A Nonconvex Low-Rank Tensor Completion Model for Spatiotemporal Traffic Data Imputation | Mar 23, 2020 | ImputationTraffic Data Imputation | —Unverified | 0 | 0 |
| Retrieval Based Time Series Forecasting | Sep 27, 2022 | ImputationRetrieval | —Unverified | 0 | 0 |
| Anomaly Detection in the Presence of Missing Values | Sep 5, 2018 | Anomaly DetectionImputation | —Unverified | 0 | 0 |
| RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data | Nov 28, 2019 | BIG-bench Machine LearningImputation | —Unverified | 0 | 0 |
| Revealing economic facts: LLMs know more than they say | May 13, 2025 | ImputationSuper-Resolution | —Unverified | 0 | 0 |
| Review for Handling Missing Data with special missing mechanism | Apr 7, 2024 | Decision MakingImputation | —Unverified | 0 | 0 |
| Revisited Large Language Model for Time Series Analysis through Modality Alignment | Oct 16, 2024 | Anomaly DetectionImputation | —Unverified | 0 | 0 |
| An Innovative Imputation and Classification Approach for Accurate Disease Prediction | Mar 10, 2016 | AttributeClassification | —Unverified | 0 | 0 |
| Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks | May 14, 2022 | Facial Landmark DetectionImputation | —Unverified | 0 | 0 |
| Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network | Feb 15, 2023 | AttributeImputation | —Unverified | 0 | 0 |
| Revisiting Prompt Engineering via Declarative Crowdsourcing | Aug 7, 2023 | Entity ResolutionImputation | —Unverified | 0 | 0 |
| Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science | Mar 29, 2024 | ImputationIn-Context Learning | —Unverified | 0 | 0 |
| Reward Shaping for User Satisfaction in a REINFORCE Recommender | Sep 30, 2022 | ImputationReinforcement Learning (RL) | —Unverified | 0 | 0 |
| A computational study on imputation methods for missing environmental data | Aug 21, 2021 | Decision MakingImputation | —Unverified | 0 | 0 |
| Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics | Jun 19, 2023 | AttributeImputation | —Unverified | 0 | 0 |
| Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach | May 17, 2023 | Causal DiscoveryImputation | —Unverified | 0 | 0 |
| Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items | Jun 21, 2021 | Causal InferenceImputation | —Unverified | 0 | 0 |
| A Comparison of Modeling Preprocessing Techniques | Feb 23, 2023 | Binary ClassificationFeature Importance | —Unverified | 0 | 0 |
| An Improved Model Ensembled of Different Hyper-parameter Tuned Machine Learning Algorithms for Fetal Health Prediction | May 26, 2023 | Imputation | —Unverified | 0 | 0 |
| Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines | Dec 19, 2019 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Unsupervised domain adaptation with imputation | Sep 25, 2019 | ClassificationDomain Adaptation | —Unverified | 0 | 0 |
| Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering | May 4, 2020 | ClusteringDenoising | —Unverified | 0 | 0 |
| Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series | Aug 3, 2022 | Anomaly DetectionImputation | —Unverified | 0 | 0 |
| Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations | Feb 15, 2019 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Robust training of recurrent neural networks to handle missing data for disease progression modeling | Aug 16, 2018 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study | Dec 18, 2024 | Feature Importancefeature selection | —Unverified | 0 | 0 |
| A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM) | May 6, 2025 | ImputationInference Attack | —Unverified | 0 | 0 |
| A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data | Apr 21, 2025 | ImputationMissing Values | —Unverified | 0 | 0 |
| Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation | Nov 7, 2024 | Computational EfficiencyGraph Neural Network | —Unverified | 0 | 0 |
| Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations | Nov 3, 2021 | ImputationMissing Values | —Unverified | 0 | 0 |
| Convolutional Imputation of Matrix Networks | Jun 2, 2016 | Imputation | —Unverified | 0 | 0 |
| Convolutional Neural Processes for Inpainting Satellite Images | May 24, 2022 | Image InpaintingImputation | —Unverified | 0 | 0 |
| sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation | Sep 5, 2023 | ImputationTime Series | —Unverified | 0 | 0 |
| CoRGi: Content-Rich Graph Neural Networks with Attention | Oct 10, 2021 | ImputationValue prediction | —Unverified | 0 | 0 |
| A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals | Feb 18, 2025 | ImputationUncertainty Quantification | —Unverified | 0 | 0 |
| Correlated Attention in Transformers for Multivariate Time Series | Nov 20, 2023 | Anomaly DetectionImputation | —Unverified | 0 | 0 |
| Scalable Data Balancing for Unlabeled Satellite Imagery | Jul 7, 2021 | Imputation | —Unverified | 0 | 0 |
| Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods | May 10, 2023 | ImputationMissing Values | —Unverified | 0 | 0 |