cs.LG(2024-04-27)

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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
1 Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation 提出基于双层优化的多教师蒸馏方法以解决噪声节点分类问题 representation learning distillation
2 Personalized Federated Learning via Sequential Layer Expansion in Representation Learning 提出基于表示学习的个性化联邦学习以解决数据异质性问题 representation learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
3 Multimodal Fusion on Low-quality Data: A Comprehensive Survey 提出多模态融合框架以解决低质量数据下的挑战 multimodal

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