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| A General Method for Amortizing Variational Filtering | Nov 13, 2018 | Inference OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation | Nov 2, 2017 | Autonomous DrivingVariational Inference | CodeCode Available | 0 | 5 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 | 5 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| MetaKernel: Learning Variational Random Features with Limited Labels | May 8, 2021 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation | Jun 5, 2021 | DiversityMeta-Learning | CodeCode Available | 0 | 5 |
| Efficient Gradient-Free Variational Inference using Policy Search | Jul 1, 2018 | Efficient ExplorationVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference | Jun 15, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 | 5 |
