cs.LG(2025-01-17)

📊 共 17 篇论文 | 🔗 3 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (7 🔗1) 支柱八:物理动画 (Physics-based Animation) (3)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Explainable artificial intelligence (XAI): from inherent explainability to large language models 提出可解释人工智能方法以解决黑箱模型透明性问题 large language model
2 Accelerating Large Language Models through Partially Linear Feed-Forward Network TARDIS:通过部分线性化前馈网络加速大型语言模型 large language model
3 MultiPruner: Balanced Structure Removal in Foundation Models MultiPruner:一种用于基础模型中平衡结构移除的多维度剪枝方法 foundation model
4 Interpretable Steering of Large Language Models with Feature Guided Activation Additions 提出FGAA,通过特征引导激活添加实现对大语言模型的可解释性操控。 large language model
5 New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends 针对新时尚产品性能预测,提出基于学习的策略分类与综述,应对行业可持续发展挑战。 multimodal
6 Differentiable Adversarial Attacks for Marked Temporal Point Processes 提出PERMTPP,一种可微的对抗攻击方法,用于攻防时序点过程模型。 TAMP
7 4bit-Quantization in Vector-Embedding for RAG 提出RAG中向量嵌入的4比特量化方法,降低内存占用并加速搜索。 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (7 篇)

#题目一句话要点标签🔗
8 An Innovative Data-Driven and Adaptive Reinforcement Learning Approach for Context-Aware Prescriptive Process Monitoring 提出FORLAPS框架,通过强化学习优化业务流程执行路径,实现情境感知的规范性流程监控。 reinforcement learning offline reinforcement learning reward shaping
9 Enhancing UAV Path Planning Efficiency Through Accelerated Learning 提出基于加速学习的无人机路径规划方法,提升效率并降低存储需求。 reinforcement learning deep reinforcement learning DRL
10 Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning 提出WAVE以解决深度强化学习中的不稳定性问题 reinforcement learning deep reinforcement learning
11 A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning 提出基于张量低秩近似的多任务强化学习值函数优化方法 reinforcement learning
12 ACCEPT: Diagnostic Forecasting of Battery Degradation Through Contrastive Learning 提出ACCEPT模型以解决锂离子电池退化预测问题 contrastive learning
13 PaSa: An LLM Agent for Comprehensive Academic Paper Search PaSa:基于LLM Agent的综合学术论文搜索,显著提升搜索质量。 reinforcement learning large language model
14 Sparse Binary Representation Learning for Knowledge Tracing 提出SBRKT模型,通过学习稀疏二元表示的辅助知识概念增强知识追踪性能。 representation learning

🔬 支柱八:物理动画 (Physics-based Animation) (3 篇)

#题目一句话要点标签🔗
15 Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning 提出STAA以解决动态图学习中的噪声边缘问题 spatiotemporal
16 Temporal Graph MLP Mixer for Spatio-Temporal Forecasting 提出T-GMM模型,解决时空预测中缺失数据下的长期依赖建模问题 spatiotemporal
17 Convex Physics Informed Neural Networks for the Monge-Ampère Optimal Transport Problem 提出基于凸物理信息神经网络的Monge-Ampère最优传输问题求解方法 AMP

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