AIMC Topic: Learning

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Summarization With Self-Aware Context Selecting Mechanism.

IEEE transactions on cybernetics Jul 4, 2022
In the natural language processing family, learning representations is a pioneering study, especially in sequence-to-sequence tasks where outputs are generated, totally relying on the learning representations of source sequence. Generally, classic me...
Learning Natural Language Processing Semantics
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Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jul 1, 2022
Deblurring images captured in dynamic scenes is challenging as the motion blurs are spatially varying caused by camera shakes and object movements. In this paper, we propose a spatially varying neural network to deblur dynamic scenes. The proposed mo...
Neural Networks, Computer Algorithms Learning
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Student Education Management Strategy Based on Artificial Intelligence Information Model under the Support of 5G Wireless Network.

Computational intelligence and neuroscience Jul 1, 2022
With the popularity of the Internet and the advancement of information technology, more and more people are accepting the teaching and sharing of knowledge through the digitalization of information. The widespread adoption of 5G technology has pushed...
Humans Artificial Intelligence Learning Students Knowledge Social Networking
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More than surgical tools: a systematic review of robots as didactic tools for the education of professionals in health sciences.

Advances in health sciences education : theory and practice Jun 30, 2022
Within the field of robots in medical education, most of the work done during the last years has focused on surgeon training in robotic surgery, practicing surgery procedures through simulators. Apart from surgical education, robots have also been wi...
Humans Health Personnel Learning Robotics Curriculum Midazolam
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Analysis on the Reform and Development of Physical Education Services in the Context of 5G Connected Communication.

Computational intelligence and neuroscience Jun 29, 2022
With the continuous growth of science and technology, mankind has entered the fifth-generation (5G) era. In this background, the development of many fields will face great opportunities and challenges, including the field of physical education (PE). ...
Humans Artificial Intelligence Learning Communication Students Physical Education and Training
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SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders.

Neural networks : the official journal of the International Neural Network Society Jun 27, 2022
Improving existing neural network architectures can involve several design choices such as manipulating the loss functions, employing a diverse learning strategy, exploiting gradient evolution at training time, optimizing the network hyper-parameters...
Neural Networks, Computer Learning
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Learning in deep neural networks and brains with similarity-weighted interleaved learning.

Proceedings of the National Academy of Sciences of the United States of America Jun 27, 2022
Understanding how the brain learns throughout a lifetime remains a long-standing challenge. In artificial neural networks (ANNs), incorporating novel information too rapidly results in catastrophic interference, i.e., abrupt loss of previously acquir...
Humans Neural Networks, Computer Learning Models, Neurological Systems Theory Neocortex
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Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM.

Sensors (Basel, Switzerland) Jun 26, 2022
The availability of educational data obtained by technology-assisted learning platforms can potentially be used to mine student behavior in order to address their problems and enhance the learning process. Educational data mining provides insights fo...
Humans Algorithms Learning Students Support Vector Machine Academic Performance
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Sharing Rewards Undermines Coordinated Hunting.

Journal of computational biology : a journal of computational molecular cell biology Jun 24, 2022
Coordinated hunting is widely observed in animals, and sharing rewards is often considered a major incentive for its success. While current theories about the role played by sharing in coordinated hunting are based on correlational evidence, we revea...
Humans Artificial Intelligence Algorithms Learning Animals Reward Hunting
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Model architecture can transform catastrophic forgetting into positive transfer.

Scientific reports Jun 24, 2022
The work of McCloskey and Cohen popularized the concept of catastrophic interference. They used a neural network that tried to learn addition using two groups of examples as two different tasks. In their case, learning the second task rapidly deterio...
Neural Networks, Computer Algorithms Learning
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