| Convolutional Neural Processes for Inpainting Satellite Images | May 24, 2022 | Image InpaintingImputation | —Unverified | 0 |
| Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns | Jun 10, 2022 | Imputation | —Unverified | 0 |
| Provable Privacy with Non-Private Pre-Processing | Mar 19, 2024 | ImputationQuantization | —Unverified | 0 |
| AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning | May 5, 2023 | AttributeContrastive Learning | —Unverified | 0 |
| CoRGi: Content-Rich Graph Neural Networks with Attention | Oct 10, 2021 | ImputationValue prediction | —Unverified | 0 |
| Had enough of experts? Quantitative knowledge retrieval from large language models | Feb 12, 2024 | ImputationInformation Retrieval | —Unverified | 0 |
| Quantum-Inspired Optimization Process for Data Imputation | May 7, 2025 | ImputationMissing Values | —Unverified | 0 |
| Race and ethnicity data for first, middle, and last names | Aug 26, 2022 | Imputation | —Unverified | 0 |
| RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction | Jan 28, 2025 | Dimensionality ReductionEnsemble Learning | —Unverified | 0 |
| Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals | Jul 15, 2024 | ClassificationImputation | —Unverified | 0 |
| Random Forest Missing Data Algorithms | Jan 19, 2017 | Imputation | —Unverified | 0 |
| Random features models: a way to study the success of naive imputation | Feb 6, 2024 | Imputation | —Unverified | 0 |
| A computational study on imputation methods for missing environmental data | Aug 21, 2021 | Decision MakingImputation | —Unverified | 0 |
| RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data | Oct 20, 2020 | ImputationMissing Values | —Unverified | 0 |
| RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation | Dec 17, 2024 | Imputation | —Unverified | 0 |
| Correlated Attention in Transformers for Multivariate Time Series | Nov 20, 2023 | Anomaly DetectionImputation | —Unverified | 0 |
| Reconstruction of Partial Dissimilarity Matrices for Cognitive Neuroscience | May 31, 2025 | ImputationMissing Values | —Unverified | 0 |
| Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops | Oct 22, 2021 | ImputationMissing Values | —Unverified | 0 |
| Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder | Jan 25, 2021 | 3D Object Reconstruction3D Shape Reconstruction | —Unverified | 0 |
| Recurrent Interpolants for Probabilistic Time Series Prediction | Sep 18, 2024 | Computational EfficiencyImputation | —Unverified | 0 |
| Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods | May 10, 2023 | ImputationMissing Values | —Unverified | 0 |
| Recursive input and state estimation: A general framework for learning from time series with missing data | Apr 17, 2021 | ImputationRepresentation Learning | —Unverified | 0 |
| RefiDiff: Refinement-Aware Diffusion for Efficient Missing Data Imputation | May 20, 2025 | DenoisingImputation | —Unverified | 0 |
| Regularising Deep Networks with Deep Generative Models | Sep 25, 2019 | Data AugmentationImputation | —Unverified | 0 |
| Relational Reasoning Network (RRN) for Anatomical Landmarking | Apr 8, 2019 | ImputationInformativeness | —Unverified | 0 |
| Relay Variational Inference: A Method for Accelerated Encoderless VI | Oct 26, 2021 | ImputationVariational Inference | —Unverified | 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 |
| Representation Learning for Wearable-Based Applications in the Case of Missing Data | Jan 8, 2024 | ImputationRepresentation Learning | —Unverified | 0 |
| A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder | Aug 29, 2022 | ImputationMissing Values | —Unverified | 0 |
| Polar Encoding: A Simple Baseline Approach for Classification with Missing Values | Oct 4, 2022 | AttributeDenoising | —Unverified | 0 |
| Resilient Neural Forecasting Systems | Mar 16, 2022 | ImputationMissing Values | —Unverified | 0 |
| AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation | Jan 22, 2025 | Brain Tumor SegmentationImputation | —Unverified | 0 |
| Retrieval Based Time Series Forecasting | Sep 27, 2022 | ImputationRetrieval | —Unverified | 0 |
| RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data | Nov 28, 2019 | BIG-bench Machine LearningImputation | —Unverified | 0 |
| Revealing economic facts: LLMs know more than they say | May 13, 2025 | ImputationSuper-Resolution | —Unverified | 0 |
| Review for Handling Missing Data with special missing mechanism | Apr 7, 2024 | Decision MakingImputation | —Unverified | 0 |
| Revisited Large Language Model for Time Series Analysis through Modality Alignment | Oct 16, 2024 | Anomaly DetectionImputation | —Unverified | 0 |
| Revisiting Facial Key Point Detection: An Efficient Approach Using Deep Neural Networks | May 14, 2022 | Facial Landmark DetectionImputation | —Unverified | 0 |
| Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network | Feb 15, 2023 | AttributeImputation | —Unverified | 0 |
| Revisiting Prompt Engineering via Declarative Crowdsourcing | Aug 7, 2023 | Entity ResolutionImputation | —Unverified | 0 |
| CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation | Feb 8, 2024 | Contrastive Learningcounterfactual | —Unverified | 0 |
| Reward Shaping for User Satisfaction in a REINFORCE Recommender | Sep 30, 2022 | ImputationReinforcement Learning (RL) | —Unverified | 0 |
| CATE Estimation With Potential Outcome Imputation From Local Regression | Nov 7, 2023 | Contrastive Learningcounterfactual | —Unverified | 0 |
| Algorithmic Recourse with Missing Values | Apr 28, 2023 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach | May 17, 2023 | Causal DiscoveryImputation | —Unverified | 0 |
| Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items | Jun 21, 2021 | Causal InferenceImputation | —Unverified | 0 |
| A Convexified Matching Approach to Imputation and Individualized Inference | Jul 7, 2024 | counterfactualImputation | —Unverified | 0 |
| Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines | Dec 19, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering | May 4, 2020 | ClusteringDenoising | —Unverified | 0 |
| Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series | Aug 3, 2022 | Anomaly DetectionImputation | —Unverified | 0 |