| Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision | Oct 6, 2022 | Variational Inference | CodeCode Available | 2 |
| Scaling up Stochastic Gradient Descent for Non-convex Optimisation | Oct 6, 2022 | Deep Reinforcement LearningVariational Inference | —Unverified | 0 |
| Bayesian Prompt Learning for Image-Language Model Generalization | Oct 5, 2022 | Few-Shot LearningLanguage Modeling | CodeCode Available | 1 |
| Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength | Oct 3, 2022 | Representation LearningVariational Inference | —Unverified | 0 |
| Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective | Oct 2, 2022 | Decision MakingSensitivity | —Unverified | 0 |
| GFlowNets and variational inference | Oct 2, 2022 | DiversityReinforcement Learning (RL) | CodeCode Available | 0 |
| Learnable Distribution Calibration for Few-Shot Class-Incremental Learning | Oct 1, 2022 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Structured Optimal Variational Inference for Dynamic Latent Space Models | Sep 29, 2022 | Variational Inference | —Unverified | 0 |
