| An Introduction to Variational Inference | Aug 30, 2021 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 |
| Instance-Aware Graph Convolutional Network for Multi-Label Classification | Aug 19, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Integrated Non-Factorized Variational Inference | Dec 1, 2013 | Variational Inference | —Unverified | 0 |
| Integrating Document Clustering and Topic Modeling | Sep 26, 2013 | ClusteringTopic Models | —Unverified | 0 |
| Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process | Jun 1, 2019 | Document ClassificationGeneral Classification | —Unverified | 0 |
| Variational Policy Propagation for Multi-agent Reinforcement Learning | Apr 19, 2020 | Multi-agent Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention | Aug 1, 2018 | Network EmbeddingRepresentation Learning | —Unverified | 0 |
| Interactive Graph Convolutional Filtering | Sep 4, 2023 | Collaborative FilteringMeta-Learning | —Unverified | 0 |
| Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process | Dec 8, 2018 | Ensemble LearningModel Selection | —Unverified | 0 |
| D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction | Jul 19, 2019 | Generative Adversarial NetworkPrediction | —Unverified | 0 |
