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David Adkins
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Debugging the internals of convolutional networks
B Alsallakh, N Kokhlikyan, V Miglani, S Muttepawar, E Wang, S Zhang, ...
eXplainable AI approaches for debugging and diagnosis., 2021
52021
Are Convolutional Networks Inherently Foveated?
B Alsallakh, V Miglani, N Kokhlikyan, D Adkins, O Reblitz-Richardson
SVRHM 2021 Workshop@ NeurIPS, 2021
12021
Method Cards for Prescriptive Machine-Learning Transparency
D Adkins, B Alsallakh, A Cheema, N Kokhlikyan, E McReynolds, P Mishra, ...
2022 IEEE/ACM 1st International Conference on AI Engineering–Software …, 2022
2022
Prescriptive and Descriptive Approaches to Machine-Learning Transparency
D Adkins, B Alsallakh, A Cheema, N Kokhlikyan, E McReynolds, P Mishra, ...
CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-9, 2022
2022
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