| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering | Dec 2, 2020 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| TAN-NTM: Topic Attention Networks for Neural Topic Modeling | Dec 2, 2020 | Document ClassificationKeyphrase Generation | —Unverified | 0 |
| A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation | Dec 1, 2020 | DecoderDiversity | —Unverified | 0 |
| Identifying signal and noise structure in neural population activity with Gaussian process factor models | Dec 1, 2020 | Variational Inference | —Unverified | 0 |
| Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks | Dec 1, 2020 | Anomaly DetectionImputation | —Unverified | 0 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | Dec 1, 2020 | Bayesian InferenceSentence | CodeCode Available | 0 |
| Stochastic Deep Gaussian Processes over Graphs | Dec 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Introducing Routing Uncertainty in Capsule Networks | Dec 1, 2020 | ObjectVariational Inference | —Unverified | 0 |
