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

Jurn-Gyu Park, Damir Seit, Kuanysh Tokayev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	Undefined/Unknown
Title of host publication	2023 IEEE International Conference on Big Data and Smart Computing (BigComp)
Pages	69-76
Number of pages	8
Publication status	Published - Feb 13 2023

Cite this

@inproceedings{bcef4ab78d2f4452b6df9e83b7fb5d92,

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

author = "Jurn-Gyu Park and Damir Seit and Kuanysh Tokayev",

year = "2023",

month = feb,

day = "13",

language = "Undefined/Unknown",

pages = "69--76",

booktitle = "2023 IEEE International Conference on Big Data and Smart Computing (BigComp)",

}