| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| 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 |
| Latent Time Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 |
| Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations | Dec 23, 2021 | Autonomous Drivingimage-classification | —Unverified | 0 |
| Surrogate Likelihoods for Variational Annealed Importance Sampling | Dec 22, 2021 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Information Field Theory and Artificial Intelligence | Dec 19, 2021 | Variational Inference | —Unverified | 0 |
| Hierarchical Variational Memory for Few-shot Learning Across Domains | Dec 15, 2021 | Few-Shot LearningVariational Inference | CodeCode Available | 0 |
| Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks | Dec 14, 2021 | ClassificationEdge Classification | —Unverified | 0 |
| Neural Point Process for Learning Spatiotemporal Event Dynamics | Dec 12, 2021 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer | Dec 12, 2021 | Adversarial RobustnessUncertainty Quantification | —Unverified | 0 |
| Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid | Dec 8, 2021 | Image InpaintingVariational Inference | CodeCode Available | 1 |
| A Continuous-time Stochastic Gradient Descent Method for Continuous Data | Dec 7, 2021 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks | Dec 7, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 |
| DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework | Dec 2, 2021 | Variational Inference | —Unverified | 0 |
| A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning | Dec 1, 2021 | Active LearningInductive Bias | —Unverified | 0 |
| Scalable Bayesian GPFA with automatic relevance determination and discrete noise models | Dec 1, 2021 | Variational Inference | —Unverified | 0 |
