cs.LG(2023-11-28)

📊 共 14 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (8 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (6)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗
1 Training Chain-of-Thought via Latent-Variable Inference 提出通过潜变量推断训练链式思维以提升LLM性能 large language model chain-of-thought
2 Debiasing Multimodal Models via Causal Information Minimization 通过因果信息最小化提出多模态模型去偏见方法 multimodal
3 Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop 分析自消耗训练循环对大型语言模型的影响 large language model
4 MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures 提出MolIG框架以解决药物分子属性预测问题 multimodal
5 Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans 提出基于物理信息神经网络的个性化胶质母细胞瘤浸润预测方法 multimodal
6 SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata 提出SoUnD框架以分析非结构化数据中的社会表征 foundation model
7 ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements? 提出ClimateX数据集以评估LLMs对气候声明的专家信心判断 large language model
8 Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization 提出混合精度量化与异步解量化以提升LLM推理效率 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗
9 Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing 提出数字双胞胎增强深度强化学习以解决网络切片资源管理问题 reinforcement learning deep reinforcement learning DRL
10 An Investigation of Time Reversal Symmetry in Reinforcement Learning 提出时间反转对称性以降低强化学习样本复杂度 reinforcement learning
11 Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective 提出基于核方法的触发模式生成以增强数据蒸馏的后门攻击能力 distillation
12 FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning 提出FedAL以解决客户端数据异构性问题 distillation
13 Goal-conditioned Offline Planning from Curious Exploration 提出基于好奇探索的目标条件离线规划方法 reinforcement learning deep reinforcement learning
14 XAI for time-series classification leveraging image highlight methods 提出基于图像高亮方法的时间序列分类可解释性模型 teacher-student distillation

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