| Discrete flow posteriors for variational inference in discrete dynamical systems | May 28, 2018 | GPUVariational Inference | —Unverified | 0 | 0 |
| Discrete-Valued Neural Networks Using Variational Inference | Jan 1, 2018 | QuantizationVariational Inference | —Unverified | 0 | 0 |
| Disease Trajectory Maps | Jun 29, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Disentangled Representation Learning with Transmitted Information Bottleneck | Nov 3, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 | 0 |
| Disentangled Skill Embeddings for Reinforcement Learning | Jun 21, 2019 | Hierarchical Reinforcement Learningreinforcement-learning | —Unverified | 0 | 0 |
| Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data | May 29, 2018 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI | Dec 11, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders | Dec 14, 2016 | ObjectTransfer Learning | —Unverified | 0 | 0 |
| Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities | Dec 2, 2023 | Density EstimationFederated Learning | —Unverified | 0 | 0 |
| Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server | Dec 31, 2015 | Variational Inference | —Unverified | 0 | 0 |
| Distributed Multitask Reinforcement Learning with Quadratic Convergence | Dec 1, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Distributed Variational Representation Learning | Jul 11, 2018 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| Distribution Matching in Variational Inference | Feb 19, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder | Mar 25, 2019 | DiversityInformation Retrieval | —Unverified | 0 | 0 |
| Diversity and Consistency: Exploring Visual Question-Answer Pair Generation | Nov 1, 2021 | DiversityQuestion Answering | —Unverified | 0 | 0 |
| Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder | May 16, 2024 | DecoderDiversity | —Unverified | 0 | 0 |
| Diversity-Promoting Bayesian Learning of Latent Variable Models | Nov 23, 2017 | DiversityMixture-of-Experts | —Unverified | 0 | 0 |
| Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation | Jun 24, 2019 | Variational Inference | —Unverified | 0 | 0 |
| D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM | Jul 3, 2015 | parameter estimationVariational Inference | —Unverified | 0 | 0 |
| Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation | Dec 3, 2022 | Domain Adaptationdomain classification | —Unverified | 0 | 0 |
| Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse | Nov 6, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation | Jun 22, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 | 0 |
| Doubly Semi-Implicit Variational Inference | Oct 5, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables | Aug 21, 2020 | Computational Efficiencyregression | —Unverified | 0 | 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 | 0 |