| Doubly Semi-Implicit Variational Inference | Oct 5, 2018 | Variational Inference | —Unverified | 0 |
| Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables | Aug 21, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection | Dec 6, 2024 | Anomaly DetectionBayesian Inference | —Unverified | 0 |
| Differentially private stochastic expectation propagation (DP-SEP) | Nov 25, 2021 | Variational Inference | —Unverified | 0 |
| DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework | Dec 2, 2021 | Variational Inference | —Unverified | 0 |
| DPVIm: Differentially Private Variational Inference Improved | Oct 28, 2022 | Variational Inference | —Unverified | 0 |
| DropMax: Adaptive Stochastic Softmax | Jan 1, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Dropout Sampling for Robust Object Detection in Open-Set Conditions | Oct 18, 2017 | image-classificationImage Classification | —Unverified | 0 |
| Dual Adversarial Auto-Encoders for Clustering | Aug 23, 2020 | ClusteringVariational Inference | —Unverified | 0 |
| Dual Adversarial Variational Embedding for Robust Recommendation | Jun 30, 2021 | Variational Inference | —Unverified | 0 |
