| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo | Jun 14, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 |
| Deep State Space Models for Unconditional Word Generation | Jun 12, 2018 | State Space ModelsText Generation | —Unverified | 0 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 |
| A Structured Variational Autoencoder for Contextual Morphological Inflection | Jun 10, 2018 | Morphological InflectionVariational Inference | CodeCode Available | 0 |
| Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty | Jun 10, 2018 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Using Social Network Information in Bayesian Truth Discovery | Jun 8, 2018 | Variational Inference | —Unverified | 0 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 |
| A Spectral Approach to Gradient Estimation for Implicit Distributions | Jun 7, 2018 | Variational Inference | CodeCode Available | 0 |
