Multimodal Learning

A Comprehensive Review of Multimodal Learning Analytics

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A Comprehensive Review of Multimodal Learning Analytics

Abstract: Multimodal learning analytics provides a new perspective for measuring and evaluating learning in complex environments. This article analyzes the research community, themes, fields, evolution, and hotspots of multimodal learning analytics using various analytical methods, based on a database that covers various academic organizations and papers on multimodal learning analytics. The research results show that … Read more

Latest Overview of Multimodal Pre-training Models

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Latest Overview of Multimodal Pre-training Models

Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content promptly! Reprinted from | Zhihu Author | Liang Chao Wei from Summer ResortOriginal link | https://zhuanlan.zhihu.com/p/412126626 01 – Background In the traditional NLP unimodal field, the development of representation learning is relatively mature. However, in the multimodal field, due to the scarcity of high-quality … Read more

NLP Hotspots and Interesting Work from ACL 2022

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NLP Hotspots and Interesting Work from ACL 2022

Delivering NLP technical insights to you every day! Reprinted from | PaperWeekly Author | Albert Yang Affiliation | Amazon/Georgia Tech Research Direction | NLP As a procrastinator, I’m writing this summary of the ACL conference just before NAACL 🙁 . At the onsite conference, I saw my former boss Bonnie Webber (ACL 2020 Lifetime Achievement … Read more

Ant Group’s Technical Exploration in Video Multimodal Retrieval

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Ant Group's Technical Exploration in Video Multimodal Retrieval

This article is about 14,500 words, and it is recommended to read for more than 15 minutes. This article will share the research achievements of Ant Group's multimodal cognitive team in the field of video multimodal retrieval over the past year. [ Introduction ] This article will share the research achievements of Ant Group’s multimodal … Read more

Cutting-Edge Review: Multimodal Graph Learning for Complex System Modeling

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Cutting-Edge Review: Multimodal Graph Learning for Complex System Modeling

Introduction Graph Learning is a machine learning method that studies and applies graph-structured data. In graph learning, data is represented as a graph consisting of nodes and edges, where nodes represent entities or objects, and edges represent the relationships or connections between them. Therefore, graph learning is particularly suitable for multi-scale analysis, modeling, and simulation … Read more

Application Of Multimodal Artificial Intelligence In Nursing Education

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Education and Teaching Application Of Multimodal Artificial Intelligence In Nursing Education Peng Wenli, Cheng Xinhua, Zhang Xian (Chongqing University of Humanities, Science and Technology, School of Nursing) Abstract: With the continuous advancement of technology and the rapid development of artificial intelligence, the application of multimodal artificial intelligence in nursing education has become a trend. The … Read more

Overview of Multimodal Learning and Latest Directions

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This article summarizes the main content from the TPAMI review literature, and the author adds the latest papers and analyses related to this field. Paper: Multimodal Machine Learning: A Survey and Taxonomy Humans interact with the world through various sensory organs, such as eyes, ears, and touch. Multimodal Machine Learning (MML) studies machine learning problems … Read more

Multimodal Cognitive Computing: Theoretical Insights and Future Directions

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Multimodal Cognitive Computing: Theoretical Insights and Future Directions

In daily life, humans utilize various senses such as vision and hearing to understand the surrounding environment. By integrating multiple perceptual modalities, a holistic understanding of events is formed. To enable machines to better mimic human cognitive abilities, multimodal cognitive computing simulates human “synaesthesia”, exploring efficient perception and comprehensive understanding methods for multimodal inputs such … Read more

How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

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How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

Overview of Multimodal Deep Learning: Network Structure Design and Fusion Methods

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Overview of Multimodal Deep Learning: Network Structure Design and Fusion Methods

Click on the above“Beginner Learning Vision”, select to addStar or “Top” Heavy content delivered immediately From | Zhihu Author丨Xiao Xi learns every day Link丨https://zhuanlan.zhihu.com/p/152234745 Introduction Multimodal deep learning mainly includes three aspects: multimodal learning representation, multimodal signal fusion, and multimodal applications. This article focuses on related fusion methods in computer vision and natural language processing, … Read more