Method cards for prescriptive machine-learning transparency-Reference-Cited by-同舟云学术

Method cards for prescriptive machine-learning transparency

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI
language:
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Author:

Adkins David¹,Alsallakh Bilal¹,Cheema Adeel¹,Kokhlikyan Narine¹,McReynolds Emily¹,Mishra Pushkar²,Procope Chavez¹,Sawruk Jeremy¹,Wang Erin¹,Zvyagina Polina¹

Affiliation:

1. Meta AI

2. Meta AI, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3522664.3528600

Reference69 articles.

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2. A. Adcock V. Reis M. Singh Z. Yan L. van der Maaten K. Zhang S. Motwani J. Guerin N. Goyal I. Misra L. Gustafson C. Changhan and P. Goyal. 2019. Classy Vision. https://github.com/facebookresearch/ClassyVision. A. Adcock V. Reis M. Singh Z. Yan L. van der Maaten K. Zhang S. Motwani J. Guerin N. Goyal I. Misra L. Gustafson C. Changhan and P. Goyal. 2019. Classy Vision. https://github.com/facebookresearch/ClassyVision.

3. David Adkins , Bilal Alsallakh , Adeel Cheema , Narine Kokhlikyan , Emily McReynolds , Pushkar Mishra , Chavez Procope , Jeremy Sawruk , Erin Wang , and Polina Zvyagina . 2022 . Method Cards for Prescriptive Machine-Learning Transparency. In Extended Abstracts of the CHI 2022 Conference on Human Factors in Computing Systems. David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, and Polina Zvyagina. 2022. Method Cards for Prescriptive Machine-Learning Transparency. In Extended Abstracts of the CHI 2022 Conference on Human Factors in Computing Systems.

4. Bilal Alsallakh Narine Kokhlikyan Vivek Miglani Shubham Muttepawar Edward Wang Sara Zhang David Adkins and Orion Reblitz-Richardson. 2021. Debugging the Internals of Convolutional Networks. In explainable AI approaches for debugging and diagnosis - NeurIPS Workshop. Bilal Alsallakh Narine Kokhlikyan Vivek Miglani Shubham Muttepawar Edward Wang Sara Zhang David Adkins and Orion Reblitz-Richardson. 2021. Debugging the Internals of Convolutional Networks. In explainable AI approaches for debugging and diagnosis - NeurIPS Workshop .

5. Bilal Alsallakh , Narine Kokhlikyan , Vivek Miglani , Jun Yuan , and Orion Reblitz-Richardson . 2021 . Mind the Pad - CNNs Can Develop Blind Spots. In Intl. Conference on Learning Representations (ICLR). Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, and Orion Reblitz-Richardson. 2021. Mind the Pad - CNNs Can Develop Blind Spots. In Intl. Conference on Learning Representations (ICLR).

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