cs.LG(2024-07-16)

📊 共 5 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2)

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

#题目一句话要点标签🔗
1 Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection 提出跨模态增强方法CMA,解决少样本多模态假新闻检测问题 multimodal
2 Performance Evaluation of Lightweight Open-source Large Language Models in Pediatric Consultations: A Comparative Analysis 轻量级开源大语言模型在儿科咨询中的性能评估与比较分析 large language model
3 Private prediction for large-scale synthetic text generation 提出基于私有预测的大规模合成文本生成方法,提升数据质量与隐私保护水平 large language model

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

#题目一句话要点标签🔗
4 Satisficing Exploration for Deep Reinforcement Learning 提出基于不确定性价值函数的深度强化学习算法,实现高效的满意解探索。 reinforcement learning deep reinforcement learning
5 Bellman Diffusion Models 提出基于扩散模型的贝尔曼更新方法,用于离线强化学习策略建模。 reinforcement learning offline reinforcement learning imitation learning

⬅️ 返回 cs.LG 首页 · 🏠 返回主页