cs.LG（2024-05-17）

📊 共 7 篇论文

🎯 兴趣领域导航

#	题目	一句话要点	标签
1	UniCL: A Universal Contrastive Learning Framework for Large Time Series Models	提出UniCL：一种用于大规模时间序列模型的通用对比学习框架	contrastive learning foundation model
2	Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control	提出时变约束感知强化学习，用于优化储能设备控制	reinforcement learning policy learning
3	Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings	提出一种利用通用知识图谱增强小规模知识图谱嵌入的策略	representation learning large language model
4	Sample-Efficient Constrained Reinforcement Learning with General Parameterization	提出PD-ANPG算法，解决一般参数化约束MDP中的样本效率问题	reinforcement learning

#	题目	一句话要点	标签
5	The Future of Large Language Model Pre-training is Federated	提出Photon联邦学习系统，用于大规模协作预训练十亿级参数大语言模型	large language model
6	Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection	提出基于上下文学习增强的LLM框架，用于无线网络入侵检测	large language model
7	Observational Scaling Laws and the Predictability of Language Model Performance	提出一种基于观测的语言模型缩放律方法，无需训练即可预测模型性能。	chain-of-thought