Summary of Automated Federated Pipeline For Parameter-efficient Fine-tuning Of Large Language Models, by Zihan Fang et al.
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Modelsby Zihan Fang, Zheng Lin, Zhe…
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Modelsby Zihan Fang, Zheng Lin, Zhe…
Variational Stochastic Gradient Descent for Deep Neural Networksby Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub…
Toward Cross-Layer Energy Optimizations in AI Systemsby Jae-Won Chung, Nishil Talati, Mosharaf ChowdhuryFirst submitted to…
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Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learningby Yanjie Li, Weijun Li, Lina…
Efficient Training of Probabilistic Neural Networks for Survival Analysisby Christian Marius Lillelund, Martin Magris, Christian…
Zero-Shot Relational Learning for Multimodal Knowledge Graphsby Rui Cai, Shichao Pei, Xiangliang ZhangFirst submitted to…
TabConv: Low-Computation CNN Inference via Table Lookupsby Neelesh Gupta, Narayanan Kannan, Pengmiao Zhang, Viktor PrasannaFirst…
Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systemsby Ao Zhou, Jianlei Yang,…
Enhancing Inference Efficiency of Large Language Models: Investigating Optimization Strategies and Architectural Innovationsby Georgy TyukinFirst…