| 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 |
