[ad_1] Introduction: In the field of artificial neural networks, spiking neural networks (SNNs) have gained significant attention for their potential in achieving high energy efficiency. SNNs are biologically inspired neural networks that operate based on…
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[ad_1] Introduction Mixture of experts for specialized sub-networks is a cutting-edge approach in the field of machine learning and artificial intelligence that aims to improve the performance of neural networks by combining multiple specialized sub-networks…
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[ad_1] Introduction: Self-attention networks have gained significant attention in the field of artificial intelligence and machine learning due to their ability to capture global dependencies in data. These networks have shown promising results in various…
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[ad_1] **Introduction** Siamese networks have gained significant attention in recent years for their ability to learn similarity between pairs of inputs in a variety of domains such as image recognition, natural language processing, and recommendation…
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[ad_1] Introduction Long short-term memory (LSTM) networks have gained significant attention in the field of neural networks due to their ability to model complex sequences and learn long-term dependencies. These networks have been successfully applied…
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[ad_1] Introduction Autoregressive models have gained significant attention in recent years due to their ability to generate realistic sequences of data, such as text, audio, and images. These models have been successful in various applications,…
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[ad_1] Introduction In recent years, deep learning models have shown impressive performance in various tasks such as image recognition, natural language processing, and speech recognition. Variational autoencoders (VAEs) are a type of generative model that…
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[ad_1] Introduction: Generative adversarial networks (GANs) have emerged as powerful tools for generating realistic synthetic data in recent years. By pitting two neural networks against each other in a zero-sum game setting, GANs are able…
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[ad_1] Introduction: In recent years, there has been a growing interest in developing robust machine learning models that can perform well in the presence of adversarial attacks. These attacks are designed to exploit vulnerabilities in…
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[ad_1] Introduction In recent times, with the rapid advancements in technology and the widespread use of cloud computing, the need for secure and confidential data processing has become more important than ever. Encrypted computation is…
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