cs.LG(2024-02-04)

📊 共 26 篇论文 | 🔗 5 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (12 🔗3) 支柱二:RL算法与架构 (RL & Architecture) (11 🔗2) 支柱一:机器人控制 (Robot Control) (2) 支柱八:物理动画 (Physics-based Animation) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (12 篇)

#题目一句话要点标签🔗
1 Jailbreaking Attack against Multimodal Large Language Model 提出图像越狱提示以攻击多模态大语言模型 large language model multimodal
2 AutoTimes: Autoregressive Time Series Forecasters via Large Language Models 提出AutoTimes以解决时间序列预测中的LLM利用不足问题 large language model foundation model TAMP
3 NetLLM: Adapting Large Language Models for Networking 提出NetLLM以解决网络任务中的深度学习适应性问题 large language model foundation model multimodal
4 Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models 提出Riemannian预条件LoRA以增强基础模型微调效果 large language model foundation model
5 Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning 提出基础模型与聚类结合以改善冷启动主动学习初始化 foundation model
6 Review of multimodal machine learning approaches in healthcare 综述多模态机器学习方法以提升医疗决策能力 multimodal
7 tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) 提出tnGPS以自动发现张量网络结构搜索算法 large language model
8 Selecting Large Language Model to Fine-tune via Rectified Scaling Law 提出修正缩放法则以优化大语言模型选择 large language model
9 Diversity Measurement and Subset Selection for Instruction Tuning Datasets 提出基于行列式点过程的数据多样性测量方法以优化指令调优数据集选择 large language model instruction following
10 Understanding Addition and Subtraction in Transformers 提出小型Transformer解决多位数加减法问题 large language model
11 CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition 提出CompeteSMoE以解决稀疏专家混合模型训练中的表示崩溃问题 large language model
12 Timer: Generative Pre-trained Transformers Are Large Time Series Models 提出Timer以解决时间序列分析中的数据稀缺问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (11 篇)

#题目一句话要点标签🔗
13 Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques 提出大语言模型与图表示学习结合的新分类体系 representation learning large language model
14 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback 提出Uni-RLHF以解决多样化人类反馈的强化学习问题 reinforcement learning offline RL RLHF
15 The Virtues of Pessimism in Inverse Reinforcement Learning 提出悲观主义方法以提升逆强化学习的样本效率 reinforcement learning offline RL inverse reinforcement learning
16 Accelerating Inverse Reinforcement Learning with Expert Bootstrapping 通过专家引导加速逆强化学习 reinforcement learning imitation learning inverse reinforcement learning
17 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning 提出信息论框架以优化上下文基础的离线元强化学习 reinforcement learning offline RL representation learning
18 BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback 提出BRAIn以解决RLHF中分布匹配方法的高方差问题 reinforcement learning RLHF DPO
19 LQER: Low-Rank Quantization Error Reconstruction for LLMs 提出低秩量化误差重构方法以提升大语言模型性能 distillation large language model
20 Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things 提出改进K-Center算法以优化物联网中的层次联邦学习调度 reinforcement learning deep reinforcement learning
21 Multi-modal Causal Structure Learning and Root Cause Analysis 提出Mulan以解决多模态根因分析问题 representation learning contrastive learning
22 Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks 提出Ce2RACH以解决低轨卫星网络中的干扰问题 reinforcement learning deep reinforcement learning
23 INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer 提出INViT以解决路由问题的泛化能力不足 reinforcement learning deep reinforcement learning

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
24 DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching 提出DiffStitch以解决离线强化学习中轨迹连接问题 trajectory optimization reinforcement learning TD3
25 Spin: An Efficient Secure Computation Framework with GPU Acceleration 提出Spin框架以提升多方安全计算的效率与准确性 MPC

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

#题目一句话要点标签🔗
26 Nature-Inspired Local Propagation 提出自然启发的局部传播算法以优化在线学习 spatiotemporal

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