| Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Variational inference for diffusion modulated Cox processes | Jan 1, 2021 | Variational Inference | —Unverified | 0 |
| Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels | Jan 1, 2021 | General ClassificationMetric Learning | —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 |
| Bayesian Learning for Deep Neural Network Adaptation | Dec 14, 2020 | speech-recognitionSpeech Recognition | CodeCode Available | 0 |
| Improving model calibration with accuracy versus uncertainty optimization | Dec 14, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Bayesian Neural Ordinary Differential Equations | Dec 14, 2020 | Bayesian InferenceBIG-bench Machine Learning | —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 Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition | Dec 8, 2020 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference | Dec 7, 2020 | Bayesian InferenceCollaborative Filtering | CodeCode Available | 0 |
| TAN-NTM: Topic Attention Networks for Neural Topic Modeling | Dec 2, 2020 | Document ClassificationKeyphrase Generation | —Unverified | 0 |
| On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering | Dec 2, 2020 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| Introducing Routing Uncertainty in Capsule Networks | Dec 1, 2020 | ObjectVariational Inference | —Unverified | 0 |
| Bidirectional Convolutional Poisson Gamma Dynamical Systems | Dec 1, 2020 | Bayesian InferenceSentence | CodeCode Available | 0 |
| Identifying signal and noise structure in neural population activity with Gaussian process factor models | Dec 1, 2020 | Variational Inference | —Unverified | 0 |
| Efficient Low Rank Gaussian Variational Inference for Neural Networks | Dec 1, 2020 | Variational Inference | CodeCode Available | 0 |
| Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks | Dec 1, 2020 | Anomaly DetectionImputation | —Unverified | 0 |
| A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation | Dec 1, 2020 | DecoderDiversity | —Unverified | 0 |
