Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work-Reference-Cited by-同舟云学术

Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Rogers Jen¹^ORCID,Crisan Anamaria²^ORCID

Affiliation:

1. Visualization Design Lab, University of Utah, Scientific Computing and Imaging Institute, United States

2. Tableau Research, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3580819

Reference121 articles.

1. Oshin Agarwal Heming Ge Siamak Shakeri and Rami Al-Rfou. 2021. Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training. https://arxiv.org/abs/2010.12688 Oshin Agarwal Heming Ge Siamak Shakeri and Rami Al-Rfou. 2021. Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training. https://arxiv.org/abs/2010.12688

2. Stefano Alletto Shenyang Huang Vincent Francois-Lavet Yohei Nakata and Guillaume Rabusseau. 2020. RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. arXiv:2003.01181https://arxiv.org/abs/2003.01181 Stefano Alletto Shenyang Huang Vincent Francois-Lavet Yohei Nakata and Guillaume Rabusseau. 2020. RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning. arXiv:2003.01181https://arxiv.org/abs/2003.01181

3. Guidelines for Human-AI Interaction

4. Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

5. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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