MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities at home and abroad, gathering over 500,000 subscribers, covering NLP master’s and PhD students, university teachers, and industry researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural … Read more
Transformers, as an attention-based encoder-decoder architecture, have not only revolutionized the field of Natural Language Processing (NLP) but have also made groundbreaking contributions in the field of Computer Vision (CV). Compared to Convolutional Neural Networks (CNNs), Visual Transformers (ViT) rely on their excellent modeling capabilities, achieving outstanding performance across multiple benchmarks such as ImageNet, COCO, … Read more
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 professors, and researchers from companies. The vision of the community is to promote the exchange between the academic and industrial circles of natural language processing and machine learning, … Read more
Madio.net Mathematics China /// Editor: Mathematics China Qianxia Since thoroughly understanding the Self_Attention mechanism, the author’s understanding of the Transformer model has risen directly from the underground to the atmosphere, and the meridians have been opened. Before going to sleep every night, that gentle phrase “Attention is all you need” often echoes in my ears, … Read more
MLNLP is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, as well as enthusiasts, … Read more
Click the above“Beginner Learning Vision” to select “Star” or “Pin” Valuable Insights Delivered First-Hand Source: PaperWeekly Editor: Jishi Platform Jishi Guide Is there a close relationship between the configuration of Transformers and their training objectives? This article aims to introduce work from ICML 2023: Paper Link: https://arxiv.org/abs/2205.10505 01 TL;DR This paper studies the relationship between … Read more
Follow our official account to discover the beauty of CV technology This article is reprinted from Quantum Bit. Pine from Aofeisi Quantum Bit | Official Account QbitAI Many AI application models today cannot avoid mentioning one model structure: Transformer. It abandons traditional CNN and RNN structures, consisting entirely of the Attention mechanism. Transformers not only … Read more
Reprinted from Quantum Bit Xiao Xiao from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI What are the differences between Longformer, a model capable of efficiently processing long texts, and BigBird, which is considered an “upgraded version” of the Transformer model? What do the various other variants of the Transformer model (X-former) look like, … Read more
Follow the public account to discover the beauty of CV technology This article is reprinted from Machine Heart, edited by Panda W. Transformers are powerful but not perfect, especially when dealing with long sequences. State Space Models (SSMs) perform quite well on long sequences. Researchers proposed last year that SSMs could replace Transformers, as seen … Read more
Source | The Robot Brains Podcast Translation | Xu Jiayu, Jia Chuan, Yang TingIn 2017, Google released the paper “Attention Is All You Need,” which proposed the Transformer architecture. This has become one of the most influential technological innovations in the field of neural networks over the past decade and has been widely applied in … Read more