cs.LG(2023-11-17)
📊 共 8 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 🔗2)
支柱九:具身大模型 (Embodied Foundation Models) (2)
支柱四:生成式动作 (Generative Motion) (1)
支柱八:物理动画 (Physics-based Animation) (1)
支柱一:机器人控制 (Robot Control) (1)
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Multimodal Representation Learning by Alternating Unimodal Adaptation | 提出多模态学习方法以解决模态主导性问题 | representation learning multimodal | ✅ | |
| 2 | EduGym: An Environment and Notebook Suite for Reinforcement Learning Education | 提出EduGym以解决强化学习教育中的实践难题 | reinforcement learning | ✅ | |
| 3 | Towards a Standardized Reinforcement Learning Framework for AAM Contingency Management | 提出标准化强化学习框架以解决AAM应急管理问题 | reinforcement learning |
🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis | 提出INSPECT数据集以解决多模态医学数据匮乏问题 | multimodal | ||
| 5 | Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference | 提出多模态神经后验估计以提升复杂模型推断精度 | multimodal |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Utilizing VQ-VAE for End-to-End Health Indicator Generation in Predicting Rolling Bearing RUL | 提出VQ-VAE以生成健康指标预测滚动轴承剩余寿命 | VQ-VAE |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing | 提出基于人类移动的大型时空模型以提升城市感知能力 | spatiotemporal |
🔬 支柱一:机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint | 提出多保真度神经网络以解决光学表面印记的逆问题 | sim-to-real |