cs.LG(2024-08-30)
📊 共 6 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)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant Learning | 提出基于对抗时序不变学习的语义引导多模态情感解码方法,提升情感识别的鲁棒性。 | multimodal | ✅ | |
| 2 | Reframing Data Value for Large Language Models Through the Lens of Plausibility | 提出基于数据可信度的LLM数据价值评估方法,无需模型训练。 | large language model | ||
| 3 | Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage | 利用机器遗忘的预训练语言模型进行隐私泄露攻击 | 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 | Estimating Conditional Average Treatment Effects via Sufficient Representation Learning | 提出CrossNet,通过学习充分表征估计条件平均处理效应(CATE) | representation learning | ||
| 5 | Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning | 利用强化学习发现针对频率控制器的虚假数据注入攻击 | reinforcement learning |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach | 提出基于大语言模型赋能图学习的城市级配送需求联合估计与预测方法 | spatiotemporal large language model |