| Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems | Nov 10, 2018 | DecoderText Generation | —Unverified | 0 |
| Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion | Jun 18, 2021 | SegmentationVariational Inference | —Unverified | 0 |
| Dynamic Collaborative Filtering with Compound Poisson Factorization | Aug 17, 2016 | Collaborative FilteringVariational Inference | —Unverified | 0 |
| Dynamic Poisson Factorization | Sep 15, 2015 | Recommendation SystemsVariational Inference | —Unverified | 0 |
| DySurv: dynamic deep learning model for survival analysis with conditional variational inference | Oct 28, 2023 | Deep LearningSurvival Analysis | —Unverified | 0 |
| Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models | May 1, 2015 | text-classificationText Classification | —Unverified | 0 |
| Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network | Mar 13, 2025 | Brain Computer InterfaceData Compression | —Unverified | 0 |
| Edge Partition Modulated Graph Convolutional Networks | Sep 29, 2021 | RelationVariational Inference | —Unverified | 0 |
| Efficient Approximate Inference with Walsh-Hadamard Variational Inference | Nov 29, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Efficient Continuous Relaxations for Dense CRF | Aug 22, 2016 | Semantic SegmentationVariational Inference | —Unverified | 0 |
| Efficient Correlated Topic Modeling with Topic Embedding | Jul 1, 2017 | Document ClassificationGeneral Classification | —Unverified | 0 |
| Efficient EM-Variational Inference for Hawkes Process | May 29, 2019 | Variational Inference | —Unverified | 0 |
| Efficient Generative Modeling with Residual Vector Quantization-Based Tokens | Dec 13, 2024 | Conditional Image GenerationImage Generation | —Unverified | 0 |
| Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks | Aug 1, 2019 | DecoderLanguage Modeling | —Unverified | 0 |
| Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations | Jun 7, 2019 | Variational Inference | —Unverified | 0 |
| Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
| Efficient Online Inference for Bayesian Nonparametric Relational Models | Dec 1, 2013 | Link PredictionVariational Inference | —Unverified | 0 |
| Efficient Reinforcement Learning with Large Language Model Priors | Oct 10, 2024 | Bayesian InferenceDecision Making | —Unverified | 0 |
| Efficient Semi-Implicit Variational Inference | Jan 15, 2021 | Variational Inference | —Unverified | 0 |
| Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning | Dec 7, 2022 | Network PruningVariational Inference | —Unverified | 0 |
| Efficient Training of Neural SDEs Using Stochastic Optimal Control | May 22, 2025 | Variational Inference | —Unverified | 0 |
| Efficient transfer learning and online adaptation with latent variable models for continuous control | Dec 8, 2018 | Bayesian Inferencecontinuous-control | —Unverified | 0 |
| Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification | May 30, 2022 | Gaussian ProcessesMulti-class Classification | —Unverified | 0 |
| Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems | Mar 24, 2025 | Computational EfficiencyGaussian Processes | —Unverified | 0 |
| Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes | Sep 16, 2020 | Time Series AnalysisVariational Inference | —Unverified | 0 |