【self-att+CIE的做法】:①self-att自行两两交叉,特征个数不变,但是特征表示已经含有context-aware; ② CIE 就是一个浅层MLP,注意输出是1xd的;③ CIE的输出(1xd) 对self-att的输出(fxd)进行缩放,这不同于SeNet对Filed维度的缩放;这有点像BN/LN的区别。 bit-level 【再额外讲一下SeNet 】浅梦:FiBiNET:...
信息提取单元(IEU),它可以捕获上下文信息和交叉特征关系,以指导上下文感知的特征细化; 互补选择门(CSGate),可以自适应地将原始和互补的特征表示与位级权重相结合,实现上下文感知的特征表示学习。 在IEU 中,设计了一个面向任务的上下文信息提取器(CIE)来对每个实例中的上下文信息进行编码,并使用一个自注意力单元来捕...
In this paper, we propose a global context-aware model to leveraging discourse context to improve argument representation. Besides, we integrate a multi-view interaction representation between two arguments themselves to the global context-aware representation to boost implicit discourse recognition ...
Recent research demonstrates the effectiveness of using pretrained language models (PLM) to improve dense retrieval and multilingual dense retrieval. In this work, we present a simple but effective monolingual pretraining task called contrastive context prediction~(CC...
Context and Ontology Representation and Reasoning context aware Context Aware Mobile System Context Aware Ubiquitous Learning Context Aware Vision Using Image-Based Active Recognition Context Awareness and Trust Context Awareness for Proactive Systems Context Based Access Control Context Based Admission Control ...
Recently, several methods tried to learn vector-level weights for feature representations to address the fixed representation issue. However, they only produce linear transformations to refine the fixed feature representations, which are still not flexible enough to capture the varying importance of each...
Multi-context aware user–item embedding for recommendation A joint objective function and an efficient algorithm are devised for the representation learning. Experimental results show that the proposed algorithm has ... BW A,WA Wen,ZHA B,... - 《Neural Networks》 被引量: 0发表: 2020年 Unified...
1) context-aware 感知上下文 1. The network operation platform supportingcontext-awareapplication is the important platform under the pervasive computing environment,which provides services for the applications of the transducer network. 支持感知上下文计算的网络操作平台是普适计算环境下重要的应用支撑平台,为基...
Further, we describe what has to be considered when building a context-aware application. We thereby focus on the representation of context information and how to deal with its unreliable nature. This chapter should sensitize the reader to the difficulties of using context information and give ...
Context-Aware Sparse Deep Coordination Graphsarxiv.org/abs/2106.02886 背景介绍 这篇文章从标题就可以看出来,是利用图结构来解决MARL问题的。这类文章相比其他fully decentralized的MARL工作,主要的出发点是那些方法中每个智能体的utility function(就是Q函数)仅依赖自己的观测和动作,可能无法区分出其他智能体对自己...