cs.LG（2024-03-20）

📊 共 10 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) (2) 支柱一：机器人控制 (Robot Control) (2) 支柱五：交互与反应 (Interaction & Reaction) (1 🔗1)

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

#	题目	一句话要点	标签	🔗	⭐
1	Towards Principled Representation Learning from Videos for Reinforcement Learning	提出基于视频的表征学习方法以解决强化学习中的决策问题	reinforcement learning representation learning contrastive learning
2	RewardBench: Evaluating Reward Models for Language Modeling	提出RewardBench以评估语言模型的奖励模型	RLHF DPO direct preference optimization
3	Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction	提出空间-时间图编码解码框架以解决战术网络未来状态预测问题	representation learning
4	From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards	提出评估Llama 2安全性以解决边缘群体服务质量问题	reinforcement learning large language model
5	REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning	提出REAL以解决无样本类增量学习中的遗忘问题	contrastive learning distillation

🔬 支柱九：具身大模型 (Embodied Foundation Models) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
6	Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection	提出多模态变分自编码器以解决低成本心脏血流动力学不稳定性检测问题	multimodal
7	Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification	利用大型语言模型提升交通事故管理中的严重性分类	large language model

🔬 支柱一：机器人控制 (Robot Control) (2 篇)

#	题目	一句话要点	标签	🔗	⭐
8	Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems	提出多阶段学习框架以解决智能系统安全关键事件预测问题	bipedal biped
9	Have You Poisoned My Data? Defending Neural Networks against Data Poisoning	提出一种新方法以防御数据中毒攻击	manipulation

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

#	题目	一句话要点	标签	🔗	⭐
10	Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning	提出$r$-loopy Weisfeiler-Leman以增强图同构测试能力	OMOMO	✅

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