cs.LG（2024-03-22）

📊 共 11 篇论文 | 🔗 1 篇有代码

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支柱二：RL算法与架构 (RL & Architecture) (8 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2) 支柱四：生成式动作 (Generative Motion) (1)

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

#题目一句话要点标签🔗⭐
1 Contrastive Learning on Multimodal Analysis of Electronic Health Records 提出多模态特征嵌入生成模型以优化电子健康记录分析 representation learning contrastive learning multimodal
2 Can large language models explore in-context? 探讨大型语言模型在上下文中探索能力的局限性 reinforcement learning large language model chain-of-thought
3 Automated Feature Selection for Inverse Reinforcement Learning 提出自动特征选择方法以解决逆强化学习中的特征选择问题 reinforcement learning imitation learning inverse reinforcement learning
4 Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies 提出稀疏多项式策略以优化参数偏微分方程控制问题 reinforcement learning deep reinforcement learning DRL
5 Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning 提出改进的长短期记忆网络以优化废水处理模拟器 reinforcement learning deep reinforcement learning DRL
6 Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation 提出在线自监督自蒸馏方法以解决序列推荐中的数据稀疏问题 contrastive learning distillation
7 GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation 提出GTC框架以解决GNN过平滑问题 representation learning contrastive learning ✅
8 Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement 提出一种新方法以简化神经组合优化的训练过程 reinforcement learning imitation learning behavior cloning

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
9 An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets 探讨大型语言模型训练数据集中的代码许可侵权问题 large language model
10 Magic for the Age of Quantized DNNs 提出量化感知训练方法以解决深度神经网络推理难题 large language model

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
11 End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography 提出基于人工智能和环境噪声层析的矿产勘探新方法 penetration foundation model

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