cs.LG(2024-03-28)

📊 共 11 篇论文 | 🔗 1 篇有代码

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支柱二:RL算法与架构 (RL & Architecture) (5) 支柱九:具身大模型 (Embodied Foundation Models) (4 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1) 支柱八:物理动画 (Physics-based Animation) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗
1 Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning 提出自监督深度强化学习以解决UWB定位误差问题 reinforcement learning deep reinforcement learning PULSE
2 Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization 提出基于模仿学习的算法以优化编译器性能 reinforcement learning imitation learning
3 Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning 提出潜在时序稀疏协调图以解决多智能体强化学习中的协调问题 reinforcement learning policy learning
4 Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior 提出基于强化学习的代理市场模拟框架以解决传统模拟不足问题 reinforcement learning
5 FewUser: Few-Shot Social User Geolocation via Contrastive Learning 提出FewUser框架以解决社交用户地理定位数据稀缺问题 contrastive learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
6 Dual-Personalizing Adapter for Federated Foundation Models 提出双个性化适配器以解决联邦基础模型中的测试时间分布转移问题 large language model foundation model
7 AlloyBERT: Alloy Property Prediction with Large Language Models 提出AlloyBERT以解决合金性质预测问题 large language model
8 JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models 提出JailbreakBench以解决大语言模型的监狱破解评估问题 large language model
9 Concept-based Analysis of Neural Networks via Vision-Language Models 通过多模态模型分析神经网络以解决视觉任务验证问题 foundation model multimodal

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
10 Efficient Learning With Sine-Activated Low-rank Matrices 提出正弦激活低秩矩阵以提升神经网络参数效率与性能 NeRF neural radiance field large language model

🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗
11 GrINd: Grid Interpolation Network for Scattered Observations 提出GrINd以解决稀疏观测数据下的时空系统预测问题 spatiotemporal

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