| A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification | Jan 2, 2019 | General Classificationimage-classification | CodeCode Available | 0 |
| Variational Self-attention Model for Sentence Representation | Dec 30, 2018 | modelSentence | —Unverified | 0 |
| Scalable GAM using sparse variational Gaussian processes | Dec 28, 2018 | Additive modelsGaussian Processes | —Unverified | 0 |
| Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions | Dec 22, 2018 | Variational Inference | CodeCode Available | 0 |
| Learning a Probabilistic Model for Diffeomorphic Registration | Dec 18, 2018 | Deformable Medical Image RegistrationDiffeomorphic Medical Image Registration | —Unverified | 0 |
| A Factorial Mixture Prior for Compositional Deep Generative Models | Dec 18, 2018 | Variational Inference | —Unverified | 0 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 |
| Non-Factorised Variational Inference in Dynamical Systems | Dec 14, 2018 | Variational Inference | —Unverified | 0 |
| An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications | Dec 10, 2018 | Variational Inference | —Unverified | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 |
