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| A Tutorial on the Mathematical Model of Single Cell Variational Inference | Jan 3, 2021 | Variational Inference | —Unverified | 0 |
| Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning | Jan 1, 2021 | Meta-LearningUnsupervised Few-Shot Image Classification | CodeCode Available | 1 |
| Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference | Jan 1, 2021 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation | Jan 1, 2021 | Federated LearningVariational Inference | —Unverified | 0 |
| Einstein VI: General and Integrated Stein Variational Inference in NumPyro | Jan 1, 2021 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels | Jan 1, 2021 | General ClassificationMetric Learning | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Discovering Autoregressive Orderings with Variational Inference | Jan 1, 2021 | Code GenerationImage Captioning | CodeCode Available | 1 |
