| The Role of Mutual Information in Variational Classifiers | Oct 22, 2020 | Variational Inference | —Unverified | 0 |
| Sparse Gaussian Process Variational Autoencoders | Oct 20, 2020 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| VarGrad: A Low-Variance Gradient Estimator for Variational Inference | Oct 20, 2020 | Variational Inference | CodeCode Available | 1 |
| Iterative Amortized Policy Optimization | Oct 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Semi-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Learning to Learn Variational Semantic Memory | Oct 20, 2020 | Few-Shot LearningGeneral Knowledge | CodeCode Available | 0 |
| Privacy-preserving Data Sharing on Vertically Partitioned Data | Oct 19, 2020 | Privacy PreservingVariational Inference | —Unverified | 0 |
| Probabilistic selection of inducing points in sparse Gaussian processes | Oct 19, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning | Oct 17, 2020 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 |
| 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 |
| Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation | Oct 5, 2020 | Autonomous DrivingClassification | —Unverified | 0 |
| Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation | Oct 5, 2020 | Link PredictionVariational Inference | —Unverified | 0 |
| Deep kernel processes | Oct 4, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| MCMC-Interactive Variational Inference | Oct 2, 2020 | Variational Inference | —Unverified | 0 |
| Relaxing the Constraints on Predictive Coding Models | Oct 2, 2020 | Variational Inference | —Unverified | 0 |
