| Hierarchical Bayes Autoencoders | Sep 25, 2019 | DecoderVariational Inference | —Unverified | 0 |
| Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach | Sep 25, 2019 | Multi-agent Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Deep Bayesian Structure Networks | Sep 25, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| LAVAE: Disentangling Location and Appearance | Sep 25, 2019 | ObjectVariational Inference | —Unverified | 0 |
| A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics | Sep 24, 2019 | Asset ManagementManagement | —Unverified | 0 |
| Variational Conditional GAN for Fine-grained Controllable Image Generation | Sep 22, 2019 | DiversityImage Generation | —Unverified | 0 |
| Compositional uncertainty in deep Gaussian processes | Sep 17, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Refined α-Divergence Variational Inference via Rejection Sampling | Sep 17, 2019 | Variational Inference | —Unverified | 0 |
| Variational Bayesian Context-aware Representation for Grocery Recommendation | Sep 17, 2019 | Variational Inference | CodeCode Available | 0 |
| Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods | Sep 14, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Reconstructing continuous distributions of 3D protein structure from cryo-EM images | Sep 11, 2019 | 3D Volumetric ReconstructionClustering | CodeCode Available | 0 |
| Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory | Sep 9, 2019 | Variational Inference | CodeCode Available | 0 |
| Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation | Sep 6, 2019 | Generalization BoundsVariational Inference | —Unverified | 0 |
| Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations | Sep 5, 2019 | DisentanglementVariational Inference | —Unverified | 0 |
| Latent Gaussian process with composite likelihoods and numerical quadrature | Sep 4, 2019 | ClusteringDimensionality Reduction | —Unverified | 0 |
| On the Expressiveness of Approximate Inference in Bayesian Neural Networks | Sep 2, 2019 | Active LearningBayesian Inference | CodeCode Available | 0 |
| Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions | Sep 1, 2019 | Variational Inference | —Unverified | 0 |
| 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 |
| Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels | Aug 26, 2019 | Multi-Task LearningVariational Inference | —Unverified | 0 |
| uniblock: Scoring and Filtering Corpus with Unicode Block Information | Aug 26, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning | Aug 25, 2019 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Learning document embeddings along with their uncertainties | Aug 20, 2019 | Topic ModelsVariational Inference | CodeCode Available | 0 |
| Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond | Aug 20, 2019 | Recommendation SystemsVariational Inference | —Unverified | 0 |
| Semi-Implicit Graph Variational Auto-Encoders | Aug 19, 2019 | DecoderVariational Inference | CodeCode Available | 0 |
