| Dropout Inference in Bayesian Neural Networks with Alpha-divergences | Mar 8, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| DropMax: Adaptive Variational Softmax | Dec 21, 2017 | ClassificationGeneral Classification | 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 |
| A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models | Sep 23, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Doubly Stochastic Variational Inference for Deep Gaussian Processes | May 24, 2017 | Gaussian ProcessesGeneral Classification | CodeCode Available | 0 | 5 |
| DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation | Jan 10, 2024 | Collaborative FilteringDisentanglement | CodeCode Available | 0 | 5 |
| A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry | Dec 31, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Feb 12, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 | 5 |
| Augment and Reduce: Stochastic Inference for Large Categorical Distributions | Jul 1, 2018 | General ClassificationRecommendation Systems | CodeCode Available | 0 | 5 |
| Structured Recognition for Generative Models with Explaining Away | Sep 12, 2022 | Density EstimationHippocampus | CodeCode Available | 0 | 5 |
