| Discontinuity-Sensitive Optimal Control Learning by Mixture of Experts | Mar 7, 2018 | Mixture-of-ExpertsModel Predictive Control | CodeCode Available | 0 |
| Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms | Feb 21, 2018 | Ensemble LearningMixture-of-Experts | —Unverified | 0 |
| Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks | Feb 6, 2018 | Feature ImportanceMixture-of-Experts | CodeCode Available | 0 |
| Topic Compositional Neural Language Model | Dec 28, 2017 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Diversity-Promoting Bayesian Learning of Latent Variable Models | Nov 23, 2017 | DiversityMixture-of-Experts | —Unverified | 0 |
| Deep Gaussian Covariance Network | Oct 17, 2017 | Gaussian ProcessesMixture-of-Experts | —Unverified | 0 |
| Learning Gating ConvNet for Two-Stream based Methods in Action Recognition | Sep 12, 2017 | Action ClassificationAction Recognition | CodeCode Available | 0 |
| UTS submission to Google YouTube-8M Challenge 2017 | Jul 13, 2017 | ClassificationGeneral Classification | CodeCode Available | 0 |
| An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling | Jul 12, 2017 | ClusteringMixture-of-Experts | —Unverified | 0 |
| Hierarchical Deep Recurrent Architecture for Video Understanding | Jul 11, 2017 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Effective Approaches to Batch Parallelization for Dynamic Neural Network Architectures | Jul 8, 2017 | Mixture-of-ExpertsQuestion Answering | CodeCode Available | 0 |
| Large-Scale YouTube-8M Video Understanding with Deep Neural Networks | Jun 14, 2017 | ClassificationGeneral Classification | —Unverified | 0 |
| Hard Mixtures of Experts for Large Scale Weakly Supervised Vision | Apr 20, 2017 | GPUMixture-of-Experts | —Unverified | 0 |
| Quality Resilient Deep Neural Networks | Mar 23, 2017 | Mixture-of-Experts | —Unverified | 0 |
| Embarrassingly Parallel Inference for Gaussian Processes | Feb 27, 2017 | Gaussian ProcessesMixture-of-Experts | CodeCode Available | 0 |
| Changing Model Behavior at Test-Time Using Reinforcement Learning | Feb 24, 2017 | BIG-bench Machine LearningMixture-of-Experts | —Unverified | 0 |
| Gated Multimodal Units for Information Fusion | Feb 7, 2017 | General ClassificationGenre classification | CodeCode Available | 1 |
| Visual Saliency Prediction Using a Mixture of Deep Neural Networks | Feb 1, 2017 | Mixture-of-ExpertsSaliency Prediction | —Unverified | 0 |
| Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer | Jan 23, 2017 | Computational EfficiencyGPU | CodeCode Available | 2 |
| Robust mixture of experts modeling using the skew t distribution | Dec 9, 2016 | ClusteringMixture-of-Experts | —Unverified | 0 |
| Robust mixture of experts modeling using the t distribution | Dec 9, 2016 | ClusteringMixture-of-Experts | —Unverified | 0 |
| Opponent Modeling in Deep Reinforcement Learning | Sep 18, 2016 | Deep Reinforcement LearningMixture-of-Experts | CodeCode Available | 0 |
| LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues | May 5, 2016 | Language ModelingLanguage Modelling | —Unverified | 0 |
| A Universal Approximation Theorem for Mixture of Experts Models | Feb 11, 2016 | General ClassificationMixture-of-Experts | —Unverified | 0 |
| Addressing Complex and Subjective Product-Related Queries with Customer Reviews | Dec 21, 2015 | Mixture-of-Experts | —Unverified | 0 |