cs.LG(2024-01-26)

📊 共 9 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱二:RL算法与架构 (RL & Architecture) (5 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱五:交互与反应 (Interaction & Reaction) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗
1 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection 提出AnomalyLLM以解决时间序列异常检测中的样本稀缺问题 distillation large language model
2 Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective 通过对抗训练改进预训练表示以增强下游任务的鲁棒性 contrastive learning large language model
3 Expert with Clustering: Hierarchical Online Preference Learning Framework 提出专家聚类框架以加速用户偏好学习 preference learning
4 Fully Independent Communication in Multi-Agent Reinforcement Learning 提出独立学习者间通信方法以解决MARL中的复杂性问题 reinforcement learning
5 Off-Policy Primal-Dual Safe Reinforcement Learning 提出保守策略优化以解决离线策略安全强化学习中的成本估计问题 reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
6 On the generalization capacity of neural networks during generic multimodal reasoning 提出多模态问答基准以评估神经网络的泛化能力 large language model multimodal
7 SliceGPT: Compress Large Language Models by Deleting Rows and Columns 提出SliceGPT以压缩大型语言模型的计算和内存需求 large language model
8 EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty 提出EAGLE以提高大语言模型的推理效率 large language model instruction following

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

#题目一句话要点标签🔗
9 GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption 提出混合同态加密以解决隐私保护机器学习问题 OMOMO

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