Summary of Multi-treatment Multi-task Uplift Modeling For Enhancing User Growth, by Yuxiang Wei et al.
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growthby Yuxiang Wei, Zhaoxin Qiu, Yingjie Li, Yuke…
Summary of Factorllm: Factorizing Knowledge Via Mixture Of Experts For Large Language Models, by Zhongyu Zhao et al.
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Modelsby Zhongyu Zhao, Menghang Dong,…
Summary of Fedmoe: Personalized Federated Learning Via Heterogeneous Mixture Of Experts, by Hanzi Mei et al.
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Expertsby Hanzi Mei, Dongqi Cai, Ao Zhou,…
Summary of Hmoe: Heterogeneous Mixture Of Experts For Language Modeling, by An Wang et al.
HMoE: Heterogeneous Mixture of Experts for Language Modelingby An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng…
Summary of Anygraph: Graph Foundation Model in the Wild, by Lianghao Xia et al.
AnyGraph: Graph Foundation Model in the Wildby Lianghao Xia, Chao HuangFirst submitted to arxiv on:…
Summary of Navigating Spatio-temporal Heterogeneity: a Graph Transformer Approach For Traffic Forecasting, by Jianxiang Zhou et al.
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecastingby Jianxiang Zhou, Erdong Liu, Wei…
Summary of Smile: Zero-shot Sparse Mixture Of Low-rank Experts Construction From Pre-trained Foundation Models, by Anke Tang et al.
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Modelsby Anke Tang, Li…
Summary of Adapmoe: Adaptive Sensitivity-based Expert Gating and Management For Efficient Moe Inference, by Shuzhang Zhong et al.
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inferenceby Shuzhang Zhong, Ling Liang,…
Summary of Bam! Just Like That: Simple and Efficient Parameter Upcycling For Mixture Of Experts, by Qizhen Zhang et al.
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Expertsby Qizhen Zhang,…
Summary of A Survey on Model Moerging: Recycling and Routing Among Specialized Experts For Collaborative Learning, by Prateek Yadav et al.
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learningby Prateek…