| Stochastic Bayesian Neural Networks | Aug 12, 2020 | Variational Inference | —Unverified | 0 |
| Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification | Aug 7, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification | Aug 6, 2020 | DisentanglementPerson Re-Identification | CodeCode Available | 0 |
| Approximation Based Variance Reduction for Reparameterization Gradients | Jul 29, 2020 | Variational Inference | CodeCode Available | 0 |
| Multi-Sample Online Learning for Probabilistic Spiking Neural Networks | Jul 23, 2020 | MemorizationTime Series Analysis | —Unverified | 0 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | Jul 21, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Mixture Representation Learning with Coupled Autoencoders | Jul 20, 2020 | Representation LearningVariational Inference | —Unverified | 0 |
| GRADE: Graph Dynamic Embedding | Jul 16, 2020 | Community DetectionDynamic Community Detection | —Unverified | 0 |
| Measurement error models: from nonparametric methods to deep neural networks | Jul 15, 2020 | Efficient Neural Networkregression | —Unverified | 0 |
| VINNAS: Variational Inference-based Neural Network Architecture Search | Jul 12, 2020 | Computational Efficiencyimage-classification | —Unverified | 0 |
