Attention Mechanism

Google Proposes RNN-Based Transformer for Long Text Modeling

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Google Proposes RNN-Based Transformer for Long Text Modeling

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine learning, as well … Read more

Current Research Status of Attention Mechanisms

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Current Research Status of Attention Mechanisms

Click the above“Machine Learning and Generative Adversarial Networks” to follow and star Get interesting and fun cutting-edge content! Author on Zhihu: Mr. Good Good, please delete if infringing https://zhuanlan.zhihu.com/p/361893386 1 Background Knowledge The Attention mechanism was first proposed in the field of visual images, probably in the 1990s, but it really gained popularity with the … Read more

Understanding Attention Mechanism in NLP with Code Examples

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Understanding Attention Mechanism in NLP with Code Examples

Produced by Machine Learning Algorithms and Natural Language Processing @Official Account Original Column Author Don.hub Position | Algorithm Engineer at JD.com School | Imperial College London Outline Intuition Analysis Pros Cons From Seq2Seq To Attention Model Seq2Seq is important, but its flaws are obvious Attention was born Write the encoder and decoder model Taxonomy of … Read more

Introduction to Attention Mechanism

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Introduction to Attention Mechanism

The attention mechanism is mentioned in both of the following articles: How to make chatbot conversations more informative and how to automatically generate text summaries. Today, let’s take a look at what attention is. This paper is considered the first work using the attention mechanism in NLP. They applied the attention mechanism to Neural Machine … Read more

Understanding Attention Mechanism in Machine Learning

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Understanding Attention Mechanism in Machine Learning

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

Attention Mechanism Bug: Softmax’s Role in All Transformers

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Attention Mechanism Bug: Softmax's Role in All Transformers

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

Understanding Attention Mechanism and Its Implementation in PyTorch

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Understanding Attention Mechanism and Its Implementation in PyTorch

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

Attention Mechanism in Deep Learning

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Attention Mechanism in Deep Learning

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

Attention Mechanism Bug: Softmax is the Culprit Affecting All Transformers

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Attention Mechanism Bug: Softmax is the Culprit Affecting All Transformers

↑ 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

New Ideas on Attention Mechanisms: Frequency Domain + Attention

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New Ideas on Attention Mechanisms: Frequency Domain + Attention

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