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：本文综述了近期在用户界面设计中应用深度学习方法的研究工作。本调研涵盖了用户界面设计应用中广泛使用的深度学习技术（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）及数据集。我们重点阐述了该领域的重要问题和新兴研究前沿。我们认为，将深度学习应用于用户界面设计自动化任务，可能成为推动软件开发行业进步的高潜力领域之一。