| MECATS: Mixture-of-Experts for Probabilistic Forecasts of Aggregated Time Series | Sep 29, 2021 | Mixture-of-ExpertsTime Series | —Unverified | 0 |
| Continual Learning Using Task Conditional Neural Networks | Sep 29, 2021 | Continual LearningMixture-of-Experts | —Unverified | 0 |
| Full-Precision Free Binary Graph Neural Networks | Sep 29, 2021 | Graph Neural NetworkMixture-of-Experts | —Unverified | 0 |
| HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models | Sep 29, 2021 | Abstractive Text SummarizationDecoder | —Unverified | 0 |
| Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts | Sep 24, 2021 | Mixture-of-Experts | —Unverified | 0 |
| Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference | Sep 24, 2021 | Mixture-of-ExpertsSentence | —Unverified | 0 |
| Scalable and Efficient MoE Training for Multitask Multilingual Models | Sep 22, 2021 | Machine TranslationMixture-of-Experts | —Unverified | 0 |
| Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy | Sep 11, 2021 | Machine TranslationMixture-of-Experts | CodeCode Available | 0 |
| Cross-token Modeling with Conditional Computation | Sep 5, 2021 | Computational EfficiencyImage Classification | —Unverified | 0 |
| Personalised Federated Learning: A Combinational Approach | Aug 22, 2021 | Federated LearningKnowledge Distillation | —Unverified | 0 |