This article is about 4500 words long and is recommended for a reading time of over 10 minutes. This article introduces Graphormer, a graph representation learning method based on the standard Transformer architecture. 1 Introduction The Transformer architecture has shown excellent performance in fields such as natural language processing and computer vision, but it performs … Read more
Source: Python Data Science This article is approximately 7200 words long and is recommended to be read in 14 minutes. In this article, we will explore the Transformer model and understand how it works. 1. Introduction The BERT model launched by Google achieved SOTA results in 11 NLP tasks, igniting the entire NLP community. One … Read more
Source: Algorithm Advancement This article is approximately 4500 words long and is recommended for a 9-minute read. This article introduces the Graph Transformer, a novel and powerful neural network model capable of effectively encoding and processing graph-structured data. Graph neural networks (GNNs) and Transformers represent a recent advancement in machine learning, providing a new type … Read more
MLNLP community is a well-known 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 the improvement of beginners. … Read more
Click the above “Beginner Learn Vision“, select to add “to favorites” or “pin“ Important content delivered in real-time 1. Introduction This article is the second part of the visual AI algorithm tutorial series, and today’s main character is Transformer. Transformer can do many interesting and meaningful things. For example, I previously wrote about “What is … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering graduate students, faculty, and researchers in NLP. The community’s vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | AI Technology Review … Read more
The Transformer has become a mainstream model in the field of artificial intelligence, with a wide range of applications. However, the computational cost of the attention mechanism in Transformers is relatively high, and this cost continues to increase with the length of the sequence. To address this issue, numerous modifications to the Transformer have emerged … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/69290203 Author | Ph0en1x Editor | WeChat public account on Machine Learning Algorithms and Natural Language Processing This article is for academic sharing only. If there is any infringement, please contact us to delete it. This … Read more
Click the "Little White Learns Vision" above, select to add "Star" or "Top" Heavyweight content, delivered at the first time For academic sharing only, does not represent the position of this public account, contact for deletion if infringing Reprinted from: Machine Heart Due to the complex attention mechanism and model design, most existing visual Transformers … Read more
Click the above “Visual Learning for Beginners” to select “Star” or “Pin” Important content delivered at the first time This article is adapted from | Deep Learning This Little Thing Models based on Transformer from the paper “Attention Is All You Need” (such as Bert) have achieved revolutionary results in various natural language processing tasks … Read more