We have already familiarized ourselves with the concept of self-attention as implemented by the Transformer attention mechanism for neural machine […]
Tag Archives | attention
The Transformer Attention Mechanism
Before the introduction of the Transformer model, the use of attention for neural machine translation was being implemented by RNN-based […]
The Luong Attention Mechanism
The Luong attention sought to introduce several improvements over the Bahdanau model for neural machine translation, particularly by introducing two […]
The Bahdanau Attention Mechanism
Conventional encoder-decoder architectures for machine translation encoded every source sentence into a fixed-length vector, irrespective of its length, from which […]
A Tour of Attention-Based Architectures
As the popularity of attention in machine learning grows, so does the list of neural architectures that incorporate an attention […]
The Attention Mechanism from Scratch
The attention mechanism was introduced to improve the performance of the encoder-decoder model for machine translation. The idea behind the […]
What is Attention?
Attention is becoming increasingly popular in machine learning, but what makes it such an attractive concept? What is the relationship […]
A Bird’s Eye View of Research on Attention
Attention is a concept that is scientifically studied across multiple disciplines, including psychology, neuroscience and, more recently, machine learning. While […]