In this paper, we will undertake a comprehensive survey of recent devel‐ opments in multi-modal learning theories, focusing on the fundamental properties that govern this field. Our goal is to provide a thorough collection of current theoretical tools for analyzing multi-modal lea...
A survey on data fusion in internet of things [49] Y Y Y Y Y N N N Y N Y Y Y Y N Y N A survey on deep learning for multimodal data fusion [32] N N Y N N N N N N N N N N N N N Y A survey of data fusion in smart city applications [25] N Y Y N Y N N ...
A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. 2017 paper bib Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang Advances in Multi-turn Dialogue Comprehension: A Survey. arXiv 2021 paper bib Zhuosheng Zhang, Hai Zhao Challenges in Building Intelligent Open-doma...
The multi-modalization of knowledge graphs is an inevitable key step towards the realization of human-level machine intelligence. The results of this endeavor are Multi-modal Knowledge Graphs (MMKGs). In this survey on MMKGs constructed by texts and images, we first give definitions of MMKGs,...
KG-MM-Survey🙌 This repository collects papers integrating Knowledge Graphs (KGs) and Multi-Modal Learning, focusing on research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph (MM4KG), which extends KG ...
This article provides an overview of the current developments in the field of multi-agent deep reinforcement learning. We focus primarily on literature from recent years that combines deep reinforcement learning methods with a multi-agent scenario. To survey the works that constitute the contemporary ...
Safe instruction tuning, a recent development, requires further investigation. Contributions. Our work makes a dual contribution. First, we are pioneers summarizing the role of LLMs in security and privacy. We delve deeply into the positive impacts of LLMs on security, their potential risks and ...
原文链接:Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey 联合建模语言和分子的潜在优势 分子、蛋白质等实体是现代生物学研究的基石,自然语言为生物分子提供详细上下文和功能描述,联合建模有助于捕捉这些复杂关系,从而加深对生物分子结构和功能的理解。 通过整合多模态数据,模型可以在...
A Survey on Dialogue Systems: Recent Advances and New Frontiers. Acm Sigkdd Explorations Newsletter 2017 paper bib Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang Challenges in Building Intelligent Open-domain Dialog Systems. ACM Transactions on Information Systems 2020 paper bib Minlie Huang, ...
论文题目:Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey论文链接:http://arxiv.org/abs/2402.05391 引言 本综述深入分析了2020至2023年间超过300篇文献,聚焦于两个主要方向:一是知识图谱驱动的多模态学习(KG4MM),探讨知识图谱如何支持多模态任务;二是多模态知识图谱(MM4KG),研究如何将知识图谱...