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| Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures | Jan 18, 2022 | MRI segmentationSegmentation | —Unverified | 0 |
| Stochastic Autograd | Jan 17, 2022 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework | Jan 17, 2022 | Click-Through Rate PredictionVariational Inference | —Unverified | 0 |
| Multi-task longitudinal forecasting with missing values on Alzheimer's Disease | Jan 13, 2022 | ImputationMissing Values | —Unverified | 0 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 |
| Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification | Jan 4, 2022 | ClassificationData Augmentation | CodeCode Available | 0 |
| Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients | Jan 4, 2022 | StarcraftStarcraft II | CodeCode Available | 0 |
| Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation | Jan 1, 2022 | Autonomous DrivingDiversity | —Unverified | 0 |
| Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization | Dec 29, 2021 | ObjectText Categorization | —Unverified | 0 |
