Is CNN a Type of Local Self-Attention?

Is CNN a Type of Local Self-Attention?

Click the "Xiaobai Studies Vision" above, select "Star" or "Top" to receive essential information promptly. Is CNN a Type of Local Self-Attention? Author: Hohou https://www.zhihu.com/question/448924025/answer/1791134786 (This answer references: Li Hongyi’s 2021 Machine Learning Course) CNN is not a type of local attention, so let’s analyze what CNN and attention are doing. 1: CNN can be … Read more

Adversarial Self-Attention Mechanism for Language Models

Adversarial Self-Attention Mechanism for Language Models

Delivering NLP technical insights to you every day! © Author | Zeng Weihao Institution | Beijing University of Posts and Telecommunications Research Direction | Dialogue Summarization Typesetting | PaperWeekly Paper Title: Adversarial Self-Attention For Language Understanding Paper Source: ICLR 2022 Paper Link: https://arxiv.org/pdf/2206.12608.pdf Introduction This paper proposes the Adversarial Self-Attention mechanism (ASA), which reconstructs the … Read more

Collect! Various Amazing Self-Attention Mechanisms

Collect! Various Amazing Self-Attention Mechanisms

Click the above“Beginner Learning Vision”, choose to add “Star Mark” or “Pin” Important content delivered at the first time Editor’s Recommendation This article summarizes the main content of Teacher Li Hongyi’s introduction to various attention mechanisms in the Spring 2022 Machine Learning course, which also serves as a supplement to the 2021 course. Reprinted from丨PaperWeekly … Read more

Differences and Connections Between Self-Attention Mechanism and Fully Connected Graph Convolutional Networks (GCN)

Differences and Connections Between Self-Attention Mechanism and Fully Connected Graph Convolutional Networks (GCN)

Click on the "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered first This article is compiled from Zhihu Q&A, used for academic sharing only, copyright belongs to the author. If there is any infringement, please contact the backend for deletion. Viewpoint One Author | Guohao Li https://www.zhihu.com/question/366088445/answer/1023290162 Let’s talk about my understanding. … Read more

Understanding Q, K, V in Attention Mechanisms

Understanding Q, K, V in Attention Mechanisms

MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial communities of natural … Read more

Understanding Self-Attention Mechanism: 8 Steps with Code

Originally from New Machine Vision Source: towardsdatascience Author: Raimi Karim Edited by: Xiao Qin [Introduction]The recent rapid advancements in the field of NLP are closely related to architectures based on Transformers. This article guides readers to fully understand the self-attention mechanism and its underlying mathematical principles through diagrams and code, and extends to Transformers. BERT, … Read more

Overview of Self-Attention Mechanism

Overview of Self-Attention Mechanism

Self-Attention Mechanism The Self-Attention mechanism (Self-Attention)https://so.csdn.net/so/search?q=Self-Attention&spm=1001.2101.3001.7020, as a type of attention mechanism, is also known as intra Attention. It is an important component of the famous Transformer model. It allows the model to allocate weights within the same sequence, thereby focusing on different parts of the sequence to extract features. This mechanism is very effective … Read more

Where Do Q, K, and V Come From in Deep Learning Attention Mechanisms?

Where Do Q, K, and V Come From in Deep Learning Attention Mechanisms?

Question: I have looked through various materials and read the original papers, which detail how Q, K, and V are obtained through certain operations to produce output results. However, I have not found anywhere that explains where Q, K, and V come from. Isn’t the input of a layer just a tensor? Why are there … Read more

Where Do Q, K, and V Come From in Attention Mechanisms?

Where Do Q, K, and V Come From in Attention Mechanisms?

In deep learning, especially in the field of natural language processing, the Attention mechanism has become a very important method. Its core idea is to allocate different weights based on the relevance of each element in the input sequence to the current element, thereby achieving dynamic focus on the input sequence. In the Attention mechanism, … Read more

Understanding Q, K, V in Attention Mechanism

Understanding Q, K, V in Attention Mechanism

Source | Zhihu Q&A Address | https://www.zhihu.com/question/298810062 This article is for academic sharing only. Please contact us for removal if there are any copyright issues. 01 Answer 1: Author – Not Uncle Let’s directly use torch to implement a Self-Attention and discuss: 1. First, define three linear transformation matrices: query, key, and value: class BertSelfAttention(nn.Module): … Read more