| HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks | Jan 9, 2021 | validVariational Inference | CodeCode Available | 1 |
| Discovering Autoregressive Orderings with Variational Inference | Jan 1, 2021 | Code GenerationImage Captioning | CodeCode Available | 1 |
| Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference | Jan 1, 2021 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 1 |
| Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning | Jan 1, 2021 | Meta-LearningUnsupervised Few-Shot Image Classification | CodeCode Available | 1 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Stochastic Deep Gaussian Processes over Graphs | Dec 1, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations | Nov 21, 2020 | 4kSemi-Supervised Image Classification | CodeCode Available | 1 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| Probabilistic Circuits for Variational Inference in Discrete Graphical Models | Oct 22, 2020 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
| Iterative Amortized Policy Optimization | Oct 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 |
| VarGrad: A Low-Variance Gradient Estimator for Variational Inference | Oct 20, 2020 | Variational Inference | CodeCode Available | 1 |
| Probabilistic selection of inducing points in sparse Gaussian processes | Oct 19, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
| AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network | Sep 17, 2020 | ChunkingVariational Inference | CodeCode Available | 1 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 |
| Deep Variational Network Toward Blind Image Restoration | Aug 25, 2020 | DenoisingImage Deblocking | CodeCode Available | 1 |
| Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions | Aug 13, 2020 | Numerical IntegrationVariational Inference | CodeCode Available | 1 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 |
