| Probabilistic Integration of Object Level Annotations in Chest X-ray Classification | Oct 13, 2022 | Knowledge DistillationVariational Inference | —Unverified | 0 |
| Dirichlet process mixture models for non-stationary data streams | Oct 13, 2022 | ClusteringDensity Estimation | —Unverified | 0 |
| Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics | Oct 12, 2022 | Variational Inference | —Unverified | 0 |
| Latent Neural ODEs with Sparse Bayesian Multiple Shooting | Oct 7, 2022 | Variational Inference | CodeCode Available | 0 |
| Scaling up Stochastic Gradient Descent for Non-convex Optimisation | Oct 6, 2022 | Deep Reinforcement LearningVariational Inference | —Unverified | 0 |
| Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning | Oct 6, 2022 | Meta-LearningVariational Inference | CodeCode Available | 0 |
| 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 |
