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To assess the prospects of using reinforcement learning (RL) for selecting and parameterizing quantum gates to build viable circuit architectures, we introduce the quantum circuit designer (QCD). By considering quantum control a decision-making problem, ...

Social bots are referred to as the automated accounts on social networks that make attempts to behave like humans. While Graph Neural Networks (GNNs) have been massively applied to the field of social bot detection, a huge amount of domain expertise and ...

Despite their stunning performance, developing deep learning models from scratch is a formidable task. Therefore, it popularizes Machine-Learning-as-a-Service (MLaaS), where general users can access the trained models of MLaaS providers via ...

Image stitching is a fundamental task that requires multiple images from different viewpoints to generate a wide field-of-viewing~(FOV) scene. Previous methods are developed on RGB images. However, the severe weather and harsh conditions, such as rain, ...

Neural architecture search (NAS) aims to automate architecture engineering in neural networks. This often requires a high computational overhead to evaluate a number of candidate networks from the set of all possible networks in the search space during ...

In recent decades, deep learning approaches have shown impressive results in many applications. However, most of these approaches rely on manually crafted architectures for a specific task in large design space, allowing room for sub-optimal designs, ...

Automated architecture search has demonstrated significant success for image data, where reinforcement learning and evolution approaches now outperform the best human designed networks ([12], [8]). These successes have not transferred over to models ...