cs.LG（2025-05-13）

📊 共 27 篇论文 | 🔗 3 篇有代码

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支柱二：RL算法与架构 (RL & Architecture) (14) 支柱九：具身大模型 (Embodied Foundation Models) (11 🔗3) 支柱一：机器人控制 (Robot Control) (1) 支柱五：交互与反应 (Interaction & Reaction) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (14 篇)

#题目一句话要点标签🔗⭐
1 A Practical Introduction to Deep Reinforcement Learning 提供深度强化学习的实用入门教程以解决学习障碍 reinforcement learning deep reinforcement learning DRL
2 Block-Biased Mamba for Long-Range Sequence Processing 提出B2S6以解决Mamba在长序列处理中的不足 Mamba SSM state space model
3 InfoPO: On Mutual Information Maximization for Large Language Model Alignment 提出InfoPO以解决大语言模型对齐中的过拟合问题 direct preference optimization large language model
4 Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations 提出一种迭代逆强化学习算法以优化成本函数 reinforcement learning inverse reinforcement learning
5 DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update 提出DyGSSM以解决动态图表示学习中信息提取不足问题 SSM state space model representation learning
6 DSADF: Thinking Fast and Slow for Decision Making 提出双系统自适应决策框架以提升RL智能体的决策能力 reinforcement learning large language model foundation model
7 Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments 提出高效无结构剪枝框架以解决Mamba模型在资源受限环境中的部署问题 Mamba SSM
8 A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting 提出多尺度表示学习框架以解决长期时间序列预测问题 representation learning MAE
9 Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL 提出FASP框架以解决离线强化学习中的长远安全问题 reinforcement learning offline RL
10 Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition 提出自编码器驱动的任务与新环境识别以解决持续强化学习问题 reinforcement learning
11 Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression 提出基于自蒸馏的LLM压缩方法以应对边缘计算限制 distillation
12 Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning 提出基于影响范围的信用分配与高效探索方法解决多智能体强化学习问题 reinforcement learning
13 SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models 提出SPAT方法以优化时间序列预测模型的计算效率 Mamba MAE
14 Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer 提出低复杂度推理框架以解决持续学习中的计算成本问题 teacher-student distillation

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#题目一句话要点标签🔗⭐
15 Generalizing Large Language Model Usability Across Resource-Constrained 提出一种框架以提升大语言模型在资源受限环境中的可用性 large language model multimodal
16 Large Language Models for Computer-Aided Design: A Survey 系统评估大语言模型在计算机辅助设计中的应用潜力 large language model ✅
17 AI Accelerators for Large Language Model Inference: Architecture Analysis and Scaling Strategies 提出针对大语言模型推理的AI加速器架构分析与扩展策略 large language model
18 Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data 提出原型基础模型以解决核物理实验读出系统中的数据处理问题 foundation model
19 ExEBench: Benchmarking Foundation Models on Extreme Earth Events 提出ExEBench以评估基础模型在极端气候事件中的表现 foundation model ✅
20 Model-Distributed Inference for Large Language Models at the Edge 提出MDI-LLM以解决边缘设备上大语言模型部署问题 large language model
21 Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models 提出基于微调模型的自动化EEG异常检测方法 foundation model
22 DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities 提出DPL以解决视觉语言变换器缺失模态问题 multimodal
23 CodePDE: An Inference Framework for LLM-driven PDE Solver Generation 提出CodePDE框架以生成偏微分方程求解器 large language model ✅
24 PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts 提出PWC-MoE框架以解决隐私保护与带宽限制问题 large language model
25 Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks 提出基于深度混合密度网络的用户行为异常检测方法 multimodal

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
26 LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification 提出基于因果机制识别的LLM增强器以优化GNN节点表示 manipulation representation learning large language model

🔬 支柱五：交互与反应 (Interaction & Reaction) (1 篇)

#题目一句话要点标签🔗⭐
27 Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations 提出混合方法以解决智能电表数据隐私保护问题 OMOMO

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