cs.LG（2024-05-12）
📊 共 6 篇论文
🎯 兴趣领域导航
🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning | 提出基于深度强化学习的联邦学习按需模型与客户端部署方案 | reinforcement learning deep reinforcement learning DRL | ||
| 2 | Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning | 提出集成后继表示，解决离线到在线强化学习中的任务泛化问题 | reinforcement learning offline RL representation learning | ||
| 3 | Machine Unlearning in Contrastive Learning | 提出基于梯度约束的对比学习模型卸载方法，适用于监督和自监督学习。 | contrastive learning |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization | 提出面向边缘设备的LLM推理优化方法，通过批处理和量化提升吞吐量。 | large language model | ||
| 5 | Post Training Quantization of Large Language Models with Microscaling Formats | 结合微缩放格式量化，实现大语言模型的轻量化部署 | large language model | ||
| 6 | ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis | ExplainableDetector：利用可解释Transformer语言模型进行短信垃圾检测 | large language model |