| A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis | Jan 13, 2025 | Deep LearningMixture-of-Experts | CodeCode Available | 0 | 5 |
| GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory | Jun 18, 2024 | Code GenerationMathematical Problem-Solving | CodeCode Available | 0 | 5 |
| DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation | Aug 23, 2024 | Deep Reinforcement LearningMixture-of-Experts | CodeCode Available | 0 | 5 |
| BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing | Dec 24, 2024 | Decision MakingFace Anti-Spoofing | CodeCode Available | 0 | 5 |
| Lifelong Mixture of Variational Autoencoders | Jul 9, 2021 | Lifelong learningMixture-of-Experts | CodeCode Available | 0 | 5 |
| Bidirectional Attention as a Mixture of Continuous Word Experts | Jul 8, 2023 | Language ModellingMixture-of-Experts | CodeCode Available | 0 | 5 |
| DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning | Jun 7, 2021 | Mixture-of-ExpertsMulti-Task Learning | CodeCode Available | 0 | 5 |
| Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives | Sep 1, 2023 | Mixture-of-Experts | CodeCode Available | 0 | 5 |
| Learning to Adapt Clinical Sequences with Residual Mixture of Experts | Apr 6, 2022 | Mixture-of-Experts | CodeCode Available | 0 | 5 |
| Learning CHARME models with neural networks | Feb 8, 2020 | Learning TheoryMixture-of-Experts | CodeCode Available | 0 | 5 |
