| 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 |
| Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation | Oct 17, 2020 | DecoderFew-Shot Learning | —Unverified | 0 |
| Generating Diverse Translation from Model Distribution with Dropout | Oct 16, 2020 | DiversityMachine Translation | —Unverified | 0 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation | Oct 13, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling | Oct 7, 2020 | Variational InferenceWord Embeddings | CodeCode Available | 0 |
| Learning from demonstration using products of experts: applications to manipulation and task prioritization | Oct 7, 2020 | Variational Inference | —Unverified | 0 |
| Variational Feature Disentangling for Fine-Grained Few-Shot Classification | Oct 7, 2020 | ClassificationFew-Shot Image Classification | —Unverified | 0 |
| Narrative Text Generation with a Latent Discrete Plan | Oct 7, 2020 | DecoderSentence | CodeCode Available | 0 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
