| Learning to infer in recurrent biological networks | Jun 18, 2020 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 |
| Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization | Jun 18, 2020 | Variational InferenceVariational Monte Carlo | —Unverified | 0 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 |
| Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF | Jun 17, 2020 | Bayesian InferenceState Space Models | —Unverified | 0 |
| Analytical Probability Distributions and EM-Learning for Deep Generative Networks | Jun 17, 2020 | Anomaly DetectionImputation | —Unverified | 0 |
| Density Deconvolution with Normalizing Flows | Jun 16, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons | Jun 16, 2020 | Generalization BoundsVariational Inference | —Unverified | 0 |
| A Deterministic Approximation to Neural SDEs | Jun 16, 2020 | Time Series AnalysisUncertainty Quantification | —Unverified | 0 |
| Manifold GPLVMs for discovering non-Euclidean latent structure in neural data | Jun 12, 2020 | Variational Inference | CodeCode Available | 1 |
| Approximate Inference for Spectral Mixture Kernel | Jun 12, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Learning to Learn Kernels with Variational Random Features | Jun 11, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks | Jun 11, 2020 | Variational Inference | —Unverified | 0 |
| Deep Structural Causal Models for Tractable Counterfactual Inference | Jun 11, 2020 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility | Jun 9, 2020 | Variational Inference | CodeCode Available | 0 |
| Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models | Jun 8, 2020 | State Space ModelsVariational Inference | —Unverified | 0 |
| Improving Inference for Neural Image Compression | Jun 7, 2020 | Image CompressionVariational Inference | CodeCode Available | 1 |
| Bayesian Neural Network via Stochastic Gradient Descent | Jun 4, 2020 | regressionVariational Inference | —Unverified | 0 |
| Quadruply Stochastic Gaussian Processes | Jun 4, 2020 | Gaussian Processesregression | CodeCode Available | 1 |
| A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning | Jun 3, 2020 | Representation LearningSelf-Supervised Learning | —Unverified | 0 |
| Variational Inference and Learning of Piecewise-linear Dynamical Systems | Jun 2, 2020 | Head Pose EstimationModel Selection | —Unverified | 0 |
| From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models | Jun 1, 2020 | Variational Inference | —Unverified | 0 |
| VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics | May 27, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Longitudinal Deep Kernel Gaussian Process Regression | May 24, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis | May 24, 2020 | Bayesian InferenceLesion Classification | —Unverified | 0 |
| Correlated Mixed Membership Modeling of Somatic Mutations | May 21, 2020 | Variational Inference | —Unverified | 0 |
| Variational Hyper-Encoding Networks | May 18, 2020 | DecoderDensity Estimation | —Unverified | 0 |
| Learning and Inference in Imaginary Noise Models | May 18, 2020 | DecoderVariational Inference | —Unverified | 0 |
| 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 |
| Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation | May 14, 2020 | Bayesian InferenceState Estimation | —Unverified | 0 |
| When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes | May 13, 2020 | counterfactualGaussian Processes | CodeCode Available | 0 |
| Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics | May 6, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Parameters Estimation from the 21 cm signal using Variational Inference | May 4, 2020 | Variational Inference | —Unverified | 0 |
| Addressing Catastrophic Forgetting in Few-Shot Problems | Apr 30, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| 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 |
| A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition | Apr 25, 2020 | Bayesian InferenceObject | —Unverified | 0 |
| The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget | Apr 24, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 2 |
| Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent | Apr 22, 2020 | DiversityVariational Inference | —Unverified | 0 |
| Variational Inference for Learning Representations of Natural Language Edits | Apr 20, 2020 | Variational Inference | CodeCode Available | 0 |
| On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond | Apr 20, 2020 | DecoderDialogue Generation | CodeCode Available | 0 |
| Variational Policy Propagation for Multi-agent Reinforcement Learning | Apr 19, 2020 | Multi-agent Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Cross-lingual Contextualized Topic Models with Zero-shot Learning | Apr 16, 2020 | Topic ModelsTransfer Learning | CodeCode Available | 2 |
| Particle-based Energetic Variational Inference | Apr 14, 2020 | Variational Inference | CodeCode Available | 0 |
| Scaling Bayesian inference of mixed multinomial logit models to very large datasets | Apr 11, 2020 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| 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 |
| Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence | Apr 8, 2020 | Sentence EmbeddingsTopic Models | CodeCode Available | 2 |
| Direct loss minimization algorithms for sparse Gaussian processes | Apr 7, 2020 | Computational EfficiencyGaussian Processes | CodeCode Available | 0 |
| B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning | Apr 6, 2020 | Bayesian InferenceImage Captioning | —Unverified | 0 |
