Summary of Theory on Mixture-of-experts in Continual Learning, by Hongbo Li et al.
Theory on Mixture-of-Experts in Continual Learningby Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness…
Summary of Interpretable Cascading Mixture-of-experts For Urban Traffic Congestion Prediction, by Wenzhao Jiang et al.
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Predictionby Wenzhao Jiang, Jindong Han, Hao Liu, Tao…
Summary of Interpretable Preferences Via Multi-objective Reward Modeling and Mixture-of-experts, by Haoxiang Wang et al.
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Expertsby Haoxiang Wang, Wei Xiong, Tengyang Xie, Han…
Summary of Gw-moe: Resolving Uncertainty in Moe Router with Global Workspace Theory, by Haoze Wu et al.
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theoryby Haoze Wu, Zihan Qiu, Zili…
Summary of Not Eliminate but Aggregate: Post-hoc Control Over Mixture-of-experts to Address Shortcut Shifts in Natural Language Understanding, by Ukyo Honda et al.
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language…
Summary of Graph Knowledge Distillation to Mixture Of Experts, by Pavel Rumiantsev and Mark Coates
Graph Knowledge Distillation to Mixture of Expertsby Pavel Rumiantsev, Mark CoatesFirst submitted to arxiv on:…
Summary of Towards Efficient Pareto Set Approximation Via Mixture Of Experts Based Model Fusion, by Anke Tang et al.
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusionby Anke Tang, Li…
Summary of Turbo Sparse: Achieving Llm Sota Performance with Minimal Activated Parameters, by Yixin Song et al.
Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parametersby Yixin Song, Haotong Xie, Zhengyan…
Summary of Node-wise Filtering in Graph Neural Networks: a Mixture Of Experts Approach, by Haoyu Han et al.
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approachby Haoyu Han, Juanhui Li,…
Summary of Continual Traffic Forecasting Via Mixture Of Experts, by Sanghyun Lee et al.
Continual Traffic Forecasting via Mixture of Expertsby Sanghyun Lee, Chanyoung ParkFirst submitted to arxiv on:…