cs.LG（2024-12-26）

📊 共 7 篇论文 | 🔗 2 篇有代码

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#	题目	一句话要点	标签	🔗
1	To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation	提出比例掩码自编码器PMAE，解决表格数据插补中掩码策略不当问题	masked autoencoder MAE	✅
2	A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores	提出一种基于强化学习的任务映射方法，提升集群多核系统的可靠性。	reinforcement learning
3	On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages	提出选择性稠密状态空间模型(SD-SSM)，实现正则语言任务上的完美长度泛化。	SSM state space model	✅
4	Provably Efficient Exploration in Reward Machines with Low Regret	提出基于概率奖励机的模型RL算法，实现低遗憾探索	reinforcement learning model-based RL

#	题目	一句话要点	标签
5	Sentiment trading with large language models	利用大型语言模型进行情感交易，显著提升股票市场预测与投资组合管理能力	large language model
6	Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining	综述性论文：探索大语言模型与图神经网络在图挖掘中的融合应用	large language model
7	RAG with Differential Privacy	提出基于差分隐私的RAG方法，解决LLM在知识库中暴露隐私数据的问题	large language model