| From Rain Generation to Rain Removal | Aug 8, 2020 | Rain RemovalSingle Image Deraining | CodeCode Available | 1 |
| Convergence of Sparse Variational Inference in Gaussian Processes Regression | Aug 1, 2020 | Gaussian Processesregression | CodeCode Available | 1 |
| Randomized Automatic Differentiation | Jul 20, 2020 | Stochastic OptimizationVariational Inference | CodeCode Available | 1 |
| State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes | Jul 12, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Fast Variational Learning in State-Space Gaussian Process Models | Jul 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Learning Sparse Prototypes for Text Generation | Jun 29, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| not-MIWAE: Deep Generative Modelling with Missing not at Random Data | Jun 23, 2020 | Missing ValuesVariational Inference | CodeCode Available | 1 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes | Jun 19, 2020 | Continual LearningDecision Making | CodeCode Available | 1 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 |
| 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 |
| ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing | Apr 8, 2020 | Variational Inference | CodeCode Available | 1 |
| Scalable Variational Gaussian Process Regression Networks | Mar 25, 2020 | regressionVariational Inference | CodeCode Available | 1 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 |
| mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoder | Mar 5, 2020 | Variational Inference | CodeCode Available | 1 |
| Gradient Boosted Normalizing Flows | Feb 27, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| VFlow: More Expressive Generative Flows with Variational Data Augmentation | Feb 22, 2020 | Density EstimationImage Generation | CodeCode Available | 1 |
| Latent Variable Modelling with Hyperbolic Normalizing Flows | Feb 15, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Robustness of Bayesian Neural Networks to Gradient-Based Attacks | Feb 11, 2020 | Variational Inference | CodeCode Available | 1 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer | Feb 10, 2020 | DeciphermentLanguage Modelling | CodeCode Available | 1 |
| Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages | Jan 30, 2020 | Cross-Lingual Transfernamed-entity-recognition | CodeCode Available | 1 |
| Treatment effect estimation with disentangled latent factors | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| Efficient Probabilistic Logic Reasoning with Graph Neural Networks | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| Multi-class Gaussian Process Classification with Noisy Inputs | Jan 28, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| Sparse Orthogonal Variational Inference for Gaussian Processes | Oct 23, 2019 | Gaussian ProcessesMulti-class Classification | CodeCode Available | 1 |
| Validated Variational Inference via Practical Posterior Error Bounds | Oct 9, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference | Sep 30, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Variational Denoising Network: Toward Blind Noise Modeling and Removal | Aug 29, 2019 | DenoisingImage Denoising | CodeCode Available | 1 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 |
| Topic Modeling in Embedding Spaces | Jul 8, 2019 | Topic ModelsVariational Inference | CodeCode Available | 1 |
| Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Jun 19, 2019 | Dependency ParsingSemantic Dependency Parsing | CodeCode Available | 1 |
| Neural Spline Flows | Jun 10, 2019 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Structured Output Learning with Conditional Generative Flows | May 30, 2019 | PredictionStructured Prediction | CodeCode Available | 1 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 |
| Sliced Score Matching: A Scalable Approach to Density and Score Estimation | May 17, 2019 | Variational Inference | CodeCode Available | 1 |
| Unsupervised Data Imputation via Variational Inference of Deep Subspaces | Mar 8, 2019 | ImputationVariational Inference | CodeCode Available | 1 |
| Learning Latent Dynamics for Planning from Pixels | Nov 12, 2018 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Variational Noise-Contrastive Estimation | Oct 18, 2018 | parameter estimationVariational Inference | CodeCode Available | 1 |
| Variational Bayesian Monte Carlo | Oct 12, 2018 | Bayesian InferenceModel Selection | CodeCode Available | 1 |
| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 |
| FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models | Oct 2, 2018 | Density EstimationForm | CodeCode Available | 1 |
