| normflows: A PyTorch Package for Normalizing Flows | Jan 26, 2023 | Image GenerationVariational Inference | CodeCode Available | 2 |
| Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision | Oct 6, 2022 | Variational Inference | CodeCode Available | 2 |
| Modelling Non-Smooth Signals with Complex Spectral Structure | Mar 14, 2022 | Variational Inference | CodeCode Available | 2 |
| Tutorial on amortized optimization | Feb 1, 2022 | Meta-Learningreinforcement-learning | CodeCode Available | 2 |
| Denoising Diffusion Restoration Models | Jan 27, 2022 | ColorizationDeblurring | CodeCode Available | 2 |
| The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget | Apr 24, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 2 |
| Cross-lingual Contextualized Topic Models with Zero-shot Learning | Apr 16, 2020 | Topic ModelsTransfer Learning | CodeCode Available | 2 |
| Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence | Apr 8, 2020 | Sentence EmbeddingsTopic Models | CodeCode Available | 2 |
| Scalable Gradients for Stochastic Differential Equations | Jan 5, 2020 | SensitivityVariational Inference | CodeCode Available | 2 |
| PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows | Jun 28, 2019 | Point Cloud GenerationVariational Inference | CodeCode Available | 2 |
