| Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning | Jan 1, 2021 | Meta-LearningUnsupervised Few-Shot Image Classification | CodeCode Available | 1 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation | Jan 1, 2021 | Federated LearningVariational Inference | —Unverified | 0 |
| Discovering Autoregressive Orderings with Variational Inference | Jan 1, 2021 | Code GenerationImage Captioning | CodeCode Available | 1 |
| Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Variational inference for diffusion modulated Cox processes | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 |
| MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| On Batch Normalisation for Approximate Bayesian Inference | Dec 24, 2020 | Bayesian Inferencevalid | —Unverified | 0 |
| Variational Determinant Estimation with Spherical Normalizing Flows | Dec 24, 2020 | Density EstimationVariational Inference | —Unverified | 0 |
| Probabilistic electric load forecasting through Bayesian Mixture Density Networks | Dec 23, 2020 | Load ForecastingManagement | —Unverified | 0 |
| Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization | Dec 21, 2020 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 |
| Bayesian Crowdsourcing with Constraints | Dec 20, 2020 | Variational Inference | —Unverified | 0 |
| EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders | Dec 18, 2020 | Variational Inference | —Unverified | 0 |
| Improving model calibration with accuracy versus uncertainty optimization | Dec 14, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Bayesian Learning for Deep Neural Network Adaptation | Dec 14, 2020 | speech-recognitionSpeech Recognition | CodeCode Available | 0 |
| Bayesian Neural Ordinary Differential Equations | Dec 14, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition | Dec 8, 2020 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| Variational System Identification for Nonlinear State-Space Models | Dec 8, 2020 | parameter estimationState Space Models | —Unverified | 0 |
| Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization | Dec 8, 2020 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Bayesian Image Reconstruction using Deep Generative Models | Dec 8, 2020 | Image DenoisingImage Inpainting | CodeCode Available | 1 |
| Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference | Dec 7, 2020 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 0 |
