The following article is sourced from WeChat public account: Xiao Bai Learning Vision. Author: Xiao Bai Learning Vision Editor: Machine Heart Link:https://mp.weixin.qq.com/s/qaAnLOaopuXKptgFmpAKPA This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. Introduction This article introduces a bug in the attention formula in machine learning, as pointed … Read more
The attention mechanism can be likened to how humans read a book. When you read, you don’t treat all content equally; you may pay more attention to certain keywords or sentences because they are more important for understanding the overall meaning. Image: Highlighting key content in a book with background colors and comments. The role … Read more
Introduction Alexander J. Smola, the head of machine learning at Amazon Web Services, presented on the attention mechanism in deep learning at the ICML2019 conference, detailing the evolution from the earliest Nadaraya-Watson Estimator (NWE) to the latest Multiple Attention Heads. Authors | Alex Smola, Aston Zhang Translator | Xiaowen The report is divided into six … Read more
Biomimetic Brain Attention Model -> Resource Allocation The deep learning attention mechanism is a biomimetic of the human visual attention mechanism, essentially a resource allocation mechanism. The physiological principle is that human visual attention can receive high-resolution information from a specific area in an image while perceiving its surrounding areas at a lower resolution, and … Read more
↑ ClickBlue Text Follow the Jishi Platform Source丨Machine Heart Jishi Guide “Big model developers, you are wrong.”>> Join the Jishi CV technology group to stay at the forefront of computer vision. “I found a bug in the attention formula that no one has discovered for eight years. All Transformer models, including GPT and LLaMA, are … Read more
Abstract： In humans, attention is a core attribute of all perceptual and cognitive operations. Given our limited capacity to process competitive sources of information, the attention mechanism selects, adjusts, and focuses on information most relevant to behavior. For decades, the concept and function of attention have been studied across philosophy, psychology, neuroscience, and computer science. … Read more
Frequency Domain + Attention has broken through the traditional modified ideas of attention mechanisms and has become a hot topic of research. It is recommended that those who want to publish papers pay more attention to this. On one hand, the combination of frequency domain and attention is very useful in improving model performance, efficiency, … Read more
Question: I have searched various materials and read the original papers, which detail how Q, K, and V are obtained through certain operations to derive output results. However, I have not found any explanation of where Q, K, and V come from. Isn’t the input to a layer just a tensor? Why do we have … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered immediately! From | Zhihu Author | lllltdaf Link | https://www.zhihu.com/question/325839123 Editor | Public Account of Machine Learning Algorithms and Natural Language Processing This article is for academic sharing only. If there is infringement, please contact the background for deletion. As someone who does CV, … Read more
This article assumes you are familiar with the Transformer Attention mechanism. If not, that’s okay; let me explain briefly. The Attention mechanism refers to the focus point; the same event can have different focal points for different people. For instance, the teacher says: “Xiao Ming skipped class again to play basketball.” The teacher’s focus is … Read more