cs.LG（2024-02-03）

📊 共 12 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (8 🔗3) 支柱九：具身大模型 (Embodied Foundation Models) (4 🔗1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (8 篇)

#题目一句话要点标签🔗⭐
1 Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling 提出无回溯前向采样方法以解决时序图表示学习的计算挑战 representation learning ✅
2 Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning 提出方差对齐评分以解决多模态对比学习中的数据选择问题 contrastive learning multimodal
3 Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning 提出Q-Aid条件监督学习以解决离线强化学习的拼接能力不足问题 reinforcement learning offline RL offline reinforcement learning
4 Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications 提出基于教师-学生学习的低复杂度中继选择方法以优化无线供电通信 teacher-student
5 Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries 提出多模态工具协同方法以探索组合库的结构-性质关系 representation learning multimodal ✅
6 Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error 提出一致性对抗鲁棒Q学习以解决深度强化学习的脆弱性问题 reinforcement learning deep reinforcement learning DRL
7 A Survey of Constraint Formulations in Safe Reinforcement Learning 综述安全强化学习中的约束表述以解决安全性问题 reinforcement learning
8 Self-Supervised Contrastive Learning for Long-term Forecasting 提出自监督对比学习以解决长序列预测问题 contrastive learning ✅

🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗⭐
9 Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models 提出VLGuard数据集以解决视觉大语言模型的安全性问题 large language model instruction following ✅
10 Position: Graph Foundation Models are Already Here 提出图基础模型以解决图数据应用广泛性问题 foundation model
11 The Landscape and Challenges of HPC Research and LLMs 提出语言模型技术以提升高性能计算任务的效率 large language model
12 PresAIse, A Prescriptive AI Solution for Enterprises 提出PresAIse以解决企业决策中的因果推断与可解释性问题 large language model

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