GenAICHI: Generative AI and HCI-Reference-Cited by-同舟云学术

GenAICHI: Generative AI and HCI

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
language:
Short-container-title:

Author:

Muller Michael¹,Chilton Lydia B²,Kantosalo Anna³,Martin Charles Patrick⁴,Walsh Greg⁵

Affiliation:

1. Human Centered AI, IBM Research, United States

2. Computer Science Department, Columbia University, United States

3. Department of Computer Science, Aalto University, Finland

4. School of Computing, Australian National University, Australia

5. Digital Whimsy Lab, University of Baltimore, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491101.3503719

Reference62 articles.

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2. Developing a Research Agenda for Human-Centered Data Science

3. Terence Broad Sebastian Berns Simon Colton and Mick Grierson. 2021. Active Divergence with Generative Deep Learning–A Survey and Taxonomy. arXiv preprint arXiv:2107.05599(2021). Terence Broad Sebastian Berns Simon Colton and Mick Grierson. 2021. Active Divergence with Generative Deep Learning–A Survey and Taxonomy. arXiv preprint arXiv:2107.05599(2021).

4. Andrew Brock Jeff Donahue and Karen Simonyan. 2019. Large Scale GAN Training for High Fidelity Natural Image Synthesis. arxiv:1809.11096 [cs.LG] Andrew Brock Jeff Donahue and Karen Simonyan. 2019. Large Scale GAN Training for High Fidelity Natural Image Synthesis. arxiv:1809.11096 [cs.LG]

5. Katherine Crowson. 2021. Introduction to VQGAN CLIP. Google Docs. https://docs.google.com/document/d/1Lu7XPRKlNhBQjcKr8k8qRzUzbBW7kzxb5Vu72GMRn2E/edit Katherine Crowson. 2021. Introduction to VQGAN CLIP. Google Docs. https://docs.google.com/document/d/1Lu7XPRKlNhBQjcKr8k8qRzUzbBW7kzxb5Vu72GMRn2E/edit

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