In this paper, we present a review of the recent work in deep learning methods for user interface design. The survey encompasses well known deep learning techniques (deep neural networks, convolutional neural networks, recurrent neural networks, autoencoders, and generative adversarial networks) and datasets widely used to design user interface applications. We highlight important problems and emerging research frontiers in this field. We believe that the use of deep learning for user interface design automation tasks could be one of the high potential fields for the advancement of the software development industry.
翻译:在本文中,我们对近期深度学习方法在用户界面设计中的研究进行了综述。该调查包括了广泛应用于用户界面设计的深度学习技术(深度神经网络、卷积神经网络、循环神经网络、自编码器和生成对抗网络)和数据集。我们重点介绍这一领域的重要问题和新兴研究前沿。我们相信,将深度学习应用于用户界面设计自动化任务可能是软件开发行业发展的高潜力领域之一。