| Easy Variational Inference for Categorical Models via an Independent Binary Approximation | May 31, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Asymmetric Variational Autoencoders | Nov 20, 2017 | Density EstimationVariational Inference | CodeCode Available | 0 | 5 |
| A Structured Variational Autoencoder for Contextual Morphological Inflection | Jun 10, 2018 | Morphological InflectionVariational Inference | CodeCode Available | 0 | 5 |
| DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation | Jan 10, 2024 | Collaborative FilteringDisentanglement | CodeCode Available | 0 | 5 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 | 5 |
| Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks | Mar 19, 2023 | Bayesian InferenceHyperspectral Unmixing | CodeCode Available | 0 | 5 |
| Dropout Inference in Bayesian Neural Networks with Alpha-divergences | Mar 8, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification | Aug 6, 2020 | DisentanglementPerson Re-Identification | CodeCode Available | 0 | 5 |
| Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives | Oct 9, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
