| CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection | Apr 4, 2020 | Conditional Text GenerationIntent Detection | —Unverified | 0 |
| The equivalence between Stein variational gradient descent and black-box variational inference | Apr 4, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration | Mar 28, 2020 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Scalable Variational Gaussian Process Regression Networks | Mar 25, 2020 | regressionVariational Inference | CodeCode Available | 1 |
| Markovian Score Climbing: Variational Inference with KL(p||q) | Mar 23, 2020 | Variational Inference | —Unverified | 0 |
| Deep Markov Spatio-Temporal Factorization | Mar 22, 2020 | ClusteringTime Series | CodeCode Available | 0 |
| Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation | Mar 21, 2020 | State EstimationVariational Inference | —Unverified | 0 |
| Deep Reinforcement Learning with Weighted Q-Learning | Mar 20, 2020 | Deep Reinforcement LearningGaussian Processes | —Unverified | 0 |
| Uncertainty Estimation in Cancer Survival Prediction | Mar 19, 2020 | PredictionSurvival Prediction | —Unverified | 0 |
| Nonparametric Deconvolution Models | Mar 17, 2020 | Variational Inference | CodeCode Available | 0 |
| B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data | Mar 13, 2020 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients | Mar 9, 2020 | validVariational Inference | —Unverified | 0 |
| Learning Discrete State Abstractions With Deep Variational Inference | Mar 9, 2020 | Decision MakingMulti-Goal Reinforcement Learning | CodeCode Available | 0 |
| Variational Inference for Deep Probabilistic Canonical Correlation Analysis | Mar 9, 2020 | MULTI-VIEW LEARNINGVariational Inference | —Unverified | 0 |
| Scalable Uncertainty for Computer Vision with Functional Variational Inference | Mar 6, 2020 | Depth EstimationGaussian Processes | —Unverified | 0 |
| Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations | Mar 6, 2020 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| 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 |
| Automatic Differentiation Variational Inference with Mixtures | Mar 3, 2020 | Variational Inference | —Unverified | 0 |
| Bayesian Neural Networks With Maximum Mean Discrepancy Regularization | Mar 2, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network | Mar 2, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Stein Variational Inference for Discrete Distributions | Mar 1, 2020 | Variational Inference | —Unverified | 0 |
| PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference | Mar 1, 2020 | Bayesian Inferencecontinuous-control | —Unverified | 0 |
| Gradient Boosted Normalizing Flows | Feb 27, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference | Feb 27, 2020 | Variational Inference | —Unverified | 0 |
