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LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023Transformer models have achieved remarkable success in sequential recommender systems (SRSs). However, computing the attention matrix in traditional dot-product attention mechanisms results in a quadratic complexity with sequence lengths, leading to high
Langming Liu+11 more
semanticscholar +1 more source
The mechanisms of involuntary attention. [PDF]
We tested 3 mechanisms of involuntary attention: (1) a perceptual enhancement mechanism, (2) a response-decision mechanism, and (3) a serial-search mechanism. Experiment 1 used a response deadline technique to compare the perceptual enhancement and the decision mechanisms and found evidence consistent with the decision mechanism.
Ruby Ha, Aniss Khani, William Prinzmetal
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A deep learning semantic segmentation network with attention mechanism for concrete crack detection
Structural Health Monitoring, 2023In this research, an attention-based feature fusion network (AFFNet), with a backbone residual network (ResNet101) enhanced with two attention mechanism modules, is proposed for automatic pixel-level detection of concrete crack.
Jiaqi Hang+5 more
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Attention mechanism in neural networks: where it comes and where it goes
Neural computing & applications (Print), 2022A long time ago in the machine learning literature, the idea of incorporating a mechanism inspired by the human visual system into neural networks was introduced.
Derya Soydaner
semanticscholar +1 more source
Journal of Medicinal Chemistry, 2020
Hunting for chemicals with favourable pharmacological, toxicological and pharmacokinetic properties remains a formidable challenge for drug discovery. Deep learning provides us with powerful tools to build predictive models that are appropriate for the ...
Zhaoping Xiong+10 more
semanticscholar +1 more source
Hunting for chemicals with favourable pharmacological, toxicological and pharmacokinetic properties remains a formidable challenge for drug discovery. Deep learning provides us with powerful tools to build predictive models that are appropriate for the ...
Zhaoping Xiong+10 more
semanticscholar +1 more source
Mechanisms of attention in touch
Somatosensory & Motor Research, 1999A series of experiments demonstrated the role of higher level cognitive processes, such as attention, in tactile perception. The first series of experiments demonstrated that automatic orienting to a tactile stimulus resulted in inhibition of subsequent stimuli at that body site--inhibition of return (IOR).
Lloyd, Donna M.+3 more
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Mechanisms of attentional priority.
Journal of Experimental Psychology: Human Perception and Performance, 1990When a single abrupt onset occurs in a multielement visual display, it captures attention, possibly by generating an attentional interrupt that designates onsets as being of high priority. In 3 experiments, the mechanisms subserving attentional priority setting were investigated.
Douglas N. Johnson, Steven Yantis
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Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition
IEEE Geoscience and Remote Sensing Letters, 2022Synthetic aperture radar automatic target recognition (SAR ATR) is a key technique of remote-sensing image recognition, which has many potential applications in the fields of military surveillance, national defense, civil application, and so on. With the
Ming Zhang+5 more
semanticscholar +1 more source
International Symposium on Computer Architecture, 2021
The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities.
Tae Jun Ham+6 more
semanticscholar +1 more source
The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities.
Tae Jun Ham+6 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2022
Predicting the trajectory of neighboring vehicles is closely related to the driving safety of intelligent vehicles and supports driving assistance. This article proposes a dual-attention mechanism trajectory prediction method based on long short-term ...
Hongyan Guo+5 more
semanticscholar +1 more source
Predicting the trajectory of neighboring vehicles is closely related to the driving safety of intelligent vehicles and supports driving assistance. This article proposes a dual-attention mechanism trajectory prediction method based on long short-term ...
Hongyan Guo+5 more
semanticscholar +1 more source