cs.LG（2024-04-06）

📊 共 5 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) (3 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (1 🔗1) 支柱五：交互与反应 (Interaction & Reaction) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Binary Classifier Optimization for Large Language Model Alignment	提出二元分类器优化方法以解决大语言模型对齐问题	DPO direct preference optimization large language model
2	Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning	提出COCOA以解决离线强化学习中的保守性问题	reinforcement learning offline RL offline reinforcement learning	✅
3	Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning	提出测量变换技术以解决组合优化问题	reinforcement learning reward design

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

#	题目	一句话要点	标签	🔗	⭐
4	To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO	提出温度预测网络TempNet以提升大规模基础模型性能	large language model foundation model	✅

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

#	题目	一句话要点	标签	🔗	⭐
5	Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning	提出CMOSB算法以优化SecureBoost的超参数配置	OMOMO

⬅️ 返回 cs.LG 首页 · 🏠 返回主页