[HTML][HTML] Attention Is All You Need.(Nips), 2017
摘要占主导地位的序列转导模型基于复杂的递归或卷积神经网络, 包括编码器和解码器.
性能最好的模型还通过注意力机制连接编码器和解码器. 我们提出了一种新的简单网络架构 …
性能最好的模型还通过注意力机制连接编码器和解码器. 我们提出了一种新的简单网络架构 …
The best of both worlds: Combining recent advances in neural machine translation
The past year has witnessed rapid advances in sequence-to-sequence (seq2seq) modeling
for Machine Translation (MT). The classic RNN-based approaches to MT were first out …
for Machine Translation (MT). The classic RNN-based approaches to MT were first out …
Machine learning for healthcare: on the verge of a major shift in healthcare epidemiology
The increasing availability of electronic health data presents a major opportunity in
healthcare for both discovery and practical applications to improve healthcare. However, for …
healthcare for both discovery and practical applications to improve healthcare. However, for …
Learning deep transformer models for machine translation
Transformer is the state-of-the-art model in recent machine translation evaluations. Two
strands of research are promising to improve models of this kind: the first uses wide …
strands of research are promising to improve models of this kind: the first uses wide …
Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network
A Sherstinsky - Physica D: Nonlinear Phenomena, 2020 - Elsevier
Because of their effectiveness in broad practical applications, LSTM networks have received
a wealth of coverage in scientific journals, technical blogs, and implementation guides …
a wealth of coverage in scientific journals, technical blogs, and implementation guides …
Self-attentive sequential recommendation
Sequential dynamics are a key feature of many modern recommender systems, which seek
to capture the'context'of users' activities on the basis of actions they have performed recently …
to capture the'context'of users' activities on the basis of actions they have performed recently …
Attention, please! A survey of neural attention models in deep learning
A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Although much effort has recently been devoted to training high-quality sentence
embeddings, we still have a poor understanding of what they are capturing." Downstream" …
embeddings, we still have a poor understanding of what they are capturing." Downstream" …
Massively multilingual neural machine translation in the wild: Findings and challenges
We introduce our efforts towards building a universal neural machine translation (NMT)
system capable of translating between any language pair. We set a milestone towards this …
system capable of translating between any language pair. We set a milestone towards this …
[PDF][PDF] Attention is all you need
A Vaswani - Advances in Neural Information Processing Systems, 2017 - user.phil.hhu.de
The dominant sequence transduction models are based on complex recurrent
orconvolutional neural networks in an encoder and decoder configuration. The best …
orconvolutional neural networks in an encoder and decoder configuration. The best …