Results 11 to 20 of about 504,050 (265)
Attention Networks and Consciousness [PDF]
Frontiers in Psychology, 2012 The term consciousness is an important one in the vernacular of the western literature in many fields. It is no wonder that scientists have assumed that consciousness will be found as a component of the human brain and that we will come to understand ...
Michael ePosner
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Computational Visual Media, 2023 Code is available at https://github.com/Visual-Attention ...
Meng-Hao Guo 0001 +4 more
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On the Interpretability of Attention Networks
CoRR, 2022 Attention mechanisms form a core component of several successful deep learning architectures, and are based on one key idea: ''The output depends only on a small (but unknown) segment of the input.'' In several practical applications like image captioning and language translation, this is mostly true.
Lakshmi Narayan Pandey +2 more
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Kronecker Attention Networks [PDF]
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020 Attention operators have been applied on both 1-D data like texts and higher-order data such as images and videos. Use of attention operators on high-order data requires flattening of the spatial or spatial-temporal dimensions into a vector, which is assumed to follow a multivariate normal distribution.
Hongyang Gao +2 more
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The Microstructure of Attentional Control in the Dorsal Attention Network [PDF]
Journal of Cognitive Neuroscience, 2021 Abstract The top–down control of attention involves command signals arising chiefly in the dorsal attention network (DAN) in frontal and parietal cortex and propagating to sensory cortex to enable the selective processing of incoming stimuli based on their behavioral relevance.
Abhijit Rajan +6 more
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2023 International Joint Conference on Neural Networks (IJCNN), 2023 Since their introduction, graph attention networks achieved outstanding results in graph representation learning tasks. However, these networks consider only pairwise relationships among nodes and then they are not able to fully exploit higher-order interactions present in many real world data-sets.
Giusti, Lorenzo +5 more
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Lightweight multilayer interactive attention network for aspect-based sentiment analysis
Connection Science, 2023 Aspect-based sentiment analysis (ABSA) aims to automatically identify the sentiment polarity of specific aspect words in a given sentence or document. Existing studies have recognised the value of interactive learning in ABSA and have developed various ...
Wenjun Zheng +3 more
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Illuminating the Neural Circuits Underlying Orienting of Attention
Vision, 2019 Human neuroimaging has revealed brain networks involving frontal and parietal cortical areas as well as subcortical areas, including the superior colliculus and pulvinar, which are involved in orienting to sensory stimuli.
Michael I. Posner, Cristopher M. Niell
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CoRR, 2022 Graph representation learning methods have mostly been limited to the modelling of node-wise interactions. Recently, there has been an increased interest in understanding how higher-order structures can be utilised to further enhance the learning abilities of graph neural networks (GNNs) in combinatorial spaces.
Christopher Wei Jin Goh +2 more
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The Evolution and Future Development of Attention Networks
Journal of Intelligence, 2023 The goal of this paper is to examine how the development of attention networks has left many important issues unsolved and to propose possible directions for solving them by combining human and animal studies. The paper starts with evidence from citation
Michael I Posner
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