cs.LG(2023-11-13)

📊 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) (6) 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)

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

#题目一句话要点标签🔗
1 Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning 提出PACOH-RL以解决数据稀缺下的任务泛化问题 reinforcement learning model-based RL
2 An introduction to reinforcement learning for neuroscience 介绍强化学习在神经科学中的应用与挑战 reinforcement learning deep reinforcement learning
3 Explainable History Distillation by Marked Temporal Point Process 提出可解释历史蒸馏方法以解决事件预测问题 distillation
4 On Elastic Language Models 提出弹性语言模型以解决请求流变化问题 distillation large language model
5 Embarassingly Simple Dataset Distillation 提出RaT-BPTT方法以优化数据集蒸馏过程 distillation
6 Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia 利用SAR数据和机器学习估算森林光学植被指数以解决光学数据局限性问题 MAE penetration

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

#题目一句话要点标签🔗
7 On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models 提出'惊人可能'响应以提升大语言模型的真实信息获取能力 large language model
8 Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units 提出显式基础模型优化方法以降低神经网络计算成本 foundation model
9 To Transformers and Beyond: Large Language Models for the Genome 探讨大型语言模型在基因组学中的应用与挑战 large language model
10 Can LLMs Patch Security Issues? 提出反馈驱动安全修补方法以解决LLMs代码安全问题 large language model

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

#题目一句话要点标签🔗
11 Non-Contact Breathing Rate Detection Using Optical Flow 提出非接触式呼吸频率检测方法以解决健康监测问题 optical flow

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