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 |