NeurIPS 2023 Workshop on Machine Learning for Creativity and Design

Yingtao Tian · Tom White · Lia Coleman · Hannah Johnston

Room 252 - 254
[ Abstract ] Workshop Website
Sat 16 Dec, 6:15 a.m. PST

Machine co-creativity grows continually and exponentially with machine learning, especially with the recent surge of generative models on multiple domains. This workshop, as a continuation of a long series, explores these topics, including state-of-the-art algorithms for the creation, accessibility of these models for artists, social and cultural impact, as well as actual artistic applications. This workshop is consistent of Presentations by invited speakers, presentation of selected papers and artworks, two panels and an art showcase (collaborating with the chairs of the NeurIPS Creative AI track). The goal of this workshop is to bring together researchers and artists interested in exploring the intersection of human creativity and machine learning, and to look beyond technical issues to better understand the needs of artists and creators.

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