为了实现我们的假设,我们引入了一个新的操作符,它有助于从item存储器到关系存储器的通信。名叫Self的操作,注意联想记忆(SAM)利用了点乘法关注和我们外在的乘法关注。外积是构建高阶关系的关键表征,因为它保留了两个输入向量之间的位级交互,因此具有丰富的表征学习的潜力(Smolensky,1990)。SAM通过两个步骤将二阶(矩...
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification 思想: 本文主要是对x-vector的统计池化结构进行改进,引入self-attention机制,得到带权重的均值和标准方差,这样一方面可以学习时序特征的重要性,另一方面可以有效降低噪声和静音等干扰,因而取得了比之x-vector更好的效果 模型:本文模型大体采用x-...
本文提出了Self-Attentive Integration Network (SAIN)模型,该模型可以有效的将user-item的反馈信息和辅助信息融合起来. 模型 本文的模型主要分为三个部分: Feature-Level Interaction Layer:生成可结合的特征表示(user和item),同时捕获高阶的交互特征 Information Integration Layer:组合来自用户项反馈的用户首选项信息和来...
To handle these limitations, we propose a Self-Attentive Adversarial Stain Normalization (SAASN) approach for the normalization of multiple stain appearances to a common domain. This unsupervised generative adversarial approach includes self-attention mechanism for synthesizing images with finer detail while...
Constituency Parsing with a Self-Attentive Encodergodweiyang.com 论文地址:Constituency Parsing with a Self-Attentive Encoder 代码地址:github 今天要介绍的这篇论文是成分句法分析领域目前的state-of-the-art,结果最高的几篇paper可以参见ruder在github整理的列表:github。 下面就是成分句法分析目前排名: ...
论文地址:Constituency Parsing with a Self-Attentive Encoder 代码地址:github 今天要介绍的这篇论文是成分句法分析领域目前的state-of-the-art,结果最高的几篇paper可以参见ruder在github整理的列表:github。
First, to address the inconsistent temporal prediction issue, we exploit temporal information in videos and propose a self-attention module that jointly considers short-range and long-range dependencies across frames, resulting in temporally coherent estimations. Second, we model human motion with a ...
原文链接: Constituency Parsing with a Self-Attentive Encodergodweiyang.com 论文地址:Constituency Parsing with a Self-Attentive Encoder 代码地址:github 今天要介绍的这篇论文是成分句法分析领域目前的state-of-the-art,结果最高的几篇paper可以参见ruder在... 查看原文 成分句法分析与依存句法分析 /details/...
Kang W. and McAuley J. Self-attentive sequential recommendation. In IEEE International Conference on Data Mining (ICDM), 2018.概Transformer 最初用在序列推荐之上.主要方法从我的角度来看, 这篇文章所用的结构和 GPT 的传播方式 几无二致, 唯一不同的好像就是采用了一个可训练的 position embeddings....
[ACL18]基于Self-Attentive的成分句法分析 原文链接: Constituency Parsing with a Self-Attentive Encoder 论文地址:Constituency Parsing with a Self-Attentive Encoder 代码地址:github 今天要介绍的这篇论文是成分句法分析领域目前的state-of-the-art,结果最高的几篇paper可以参见ruder在github整理的列表:github。