| Efficient Probabilistic Logic Reasoning with Graph Neural Networks | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| Treatment effect estimation with disentangled latent factors | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| Multi-class Gaussian Process Classification with Noisy Inputs | Jan 28, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| Sparse Orthogonal Variational Inference for Gaussian Processes | Oct 23, 2019 | Gaussian ProcessesMulti-class Classification | CodeCode Available | 1 |
| Validated Variational Inference via Practical Posterior Error Bounds | Oct 9, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference | Sep 30, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Variational Denoising Network: Toward Blind Noise Modeling and Removal | Aug 29, 2019 | DenoisingImage Denoising | CodeCode Available | 1 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 |
| Topic Modeling in Embedding Spaces | Jul 8, 2019 | Topic ModelsVariational Inference | CodeCode Available | 1 |
| Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Jun 19, 2019 | Dependency ParsingSemantic Dependency Parsing | CodeCode Available | 1 |
