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Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study

Jurn-Gyu Park, Damir Seit, Kuanysh Tokayev. Feed-forward Design vs. Mimic Learning for Interpretable Deep Models: A Comparative Study. In Hyeran Byun, Beng Chin Ooi, Katsumi Tanaka, Sang-Won Lee 0001, Zhixu Li, Akiyo Nadamoto, Giltae Song, Young-Guk Ha, Kazutoshi Sumiya, Yuncheng Wu, Hyuk-Yoon Kwon, Takehiro Yamamoto, editors, IEEE International Conference on Big Data and Smart Computing, BigComp 2023, Jeju, Republic of Korea, February 13-16, 2023. pages 69-76, IEEE, 2023. [doi]

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Jurn-Gyu Park

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Damir Seit

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Kuanysh Tokayev

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