| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 |
| Density Deconvolution with Normalizing Flows | Jun 16, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Manifold GPLVMs for discovering non-Euclidean latent structure in neural data | Jun 12, 2020 | Variational Inference | CodeCode Available | 1 |
| Deep Structural Causal Models for Tractable Counterfactual Inference | Jun 11, 2020 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| Improving Inference for Neural Image Compression | Jun 7, 2020 | Image CompressionVariational Inference | CodeCode Available | 1 |
| Quadruply Stochastic Gaussian Processes | Jun 4, 2020 | Gaussian Processesregression | CodeCode Available | 1 |
| Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Latent Chord Labels and Features | May 14, 2020 | General ClassificationVariational Inference | CodeCode Available | 1 |
| A Batch Normalized Inference Network Keeps the KL Vanishing Away | Apr 27, 2020 | Dialogue GenerationLanguage Modeling | CodeCode Available | 1 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | Apr 27, 2020 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 |
| Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation | Apr 9, 2020 | Data AugmentationDensity Estimation | CodeCode Available | 1 |
