Attention Is All You Need

Rating
6 - Outstanding
Authors
Vaswani et al.
Date
2017
Review Status
Completed
Review Date
2026/03/09 02:41
Key Findings
Introduced the Transformer architecture, revolutionizing sequence modeling by relying entirely on self-attention mechanisms without recurrence. Achieved state-of-the-art results on machine translation tasks while being more parallelizable and requiring significantly less training time.
Venue
NeurIPS 2017
Field
Machine Learning
Deep Learning
Natural Language Processing
URL
Paper Library
R
Review Type