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| An Empirical Study: Extensive Deep Temporal Point Process | Oct 19, 2021 | Graph structure learningVariational Inference | CodeCode Available | 1 |
| Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty | Oct 16, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Bayesian Confidence Calibration for Epistemic Uncertainty Modelling | Sep 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 |
| Learning Opinion Summarizers by Selecting Informative Reviews | Sep 9, 2021 | Few-Shot LearningOpinion Summarization | CodeCode Available | 1 |
| Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation | Sep 1, 2021 | Sign Language TranslationTranslation | CodeCode Available | 1 |
| Pathfinder: Parallel quasi-Newton variational inference | Aug 9, 2021 | PathfinderVariational Inference | CodeCode Available | 1 |
| P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening | Aug 9, 2021 | Anomaly DetectionVariational Inference | CodeCode Available | 1 |
| Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference | Aug 1, 2021 | Variational Inference | CodeCode Available | 1 |
| Neural Variational Gradient Descent | Jul 22, 2021 | Bayesian Inferenceregression | CodeCode Available | 1 |