| 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 |
| Visual Saliency Prediction Using a Mixture of Deep Neural Networks | Feb 1, 2017 | Mixture-of-ExpertsSaliency Prediction | —Unverified | 0 |
| Robust mixture of experts modeling using the t distribution | Dec 9, 2016 | ClusteringMixture-of-Experts | —Unverified | 0 |
| Robust mixture of experts modeling using the skew 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 |
