.png){kind=icon}
.png){kind=icon}
Return
Creativity and Machine Learning: A Survey
.png){kind=icon}
OA
AI
DOI：10.1145/3664595.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative deep learning), and corresponding automatic evaluation methods. After presenting a critical discussion of the key contributions in this area, we outline the current research challenges and emerging opportunities in this field.
Keywords:
Computational creativity
machine learning
generative deep learning
creativity evaluation methods