| Variational Inference based on Robust Divergences | Oct 18, 2017 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Dropout Sampling for Robust Object Detection in Open-Set Conditions | Oct 18, 2017 | image-classificationImage Classification | —Unverified | 0 |
| On the challenges of learning with inference networks on sparse, high-dimensional data | Oct 17, 2017 | parameter estimationVariational Inference | CodeCode Available | 0 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes | Oct 13, 2017 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| Bayesian Hypernetworks | Oct 13, 2017 | Active LearningAnomaly Detection | —Unverified | 0 |
| A Dynamic Edge Exchangeable Model for Sparse Temporal Networks | Oct 11, 2017 | Link PredictionVariational Inference | —Unverified | 0 |
| α-Variational Inference with Statistical Guarantees | Oct 9, 2017 | Variational Inference | —Unverified | 0 |
| Learnable Explicit Density for Continuous Latent Space and Variational Inference | Oct 6, 2017 | Density EstimationVariational Inference | —Unverified | 0 |
| Variational Memory Addressing in Generative Models | Sep 21, 2017 | Few-Shot LearningRepresentation Learning | CodeCode Available | 0 |
| Perturbative Black Box Variational Inference | Sep 21, 2017 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
