Architectures and algorithms for on-device user customization of CNNs.

Inpyo Bae

Barend Harris Inpyo Bae Bernhard Egger 0002 Architectures and algorithms for on-device user customization of CNNs. 121-133 2019 67 Integr. https://doi.org/10.1016/j.vlsi.2018.11.001 https://www.wikidata.org/entity/Q128878023 db/journals/integration/integration67.html#HarrisBE19

Inpyo Bae Barend Harris Hyemi Min Bernhard Egger 0002 Auto-Tuning CNNs for Coarse-Grained Reconfigurable Array-Based Accelerators. 2301-2310 2018 37 IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11 https://doi.org/10.1109/TCAD.2018.2857278 db/journals/tcad/tcad37.html#BaeHME18

Barend Harris Mansureh S. Moghaddam Duseok Kang Inpyo Bae Euiseok Kim Hyemi Min Hansu Cho Sukjin Kim Bernhard Egger 0002 Soonhoi Ha Kiyoung Choi Architectures and algorithms for user customization of CNNs. 540-547 2018 ASP-DAC https://doi.org/10.1109/ASPDAC.2018.8297379 http://dl.acm.org/citation.cfm?id=3201734 conf/aspdac/2018 db/conf/aspdac/aspdac2018.html#HarrisMKBKMCKEH18 Duseok Kang Euiseok Kim Inpyo Bae Bernhard Egger 0002 Soonhoi Ha C-GOOD: C-code generation framework for optimized on-device deep learning. 105 2018 ICCAD https://doi.org/10.1145/3240765.3240786 https://ieeexplore.ieee.org/document/8587666/ conf/iccad/2018 db/conf/iccad/iccad2018.html#KangKBEH18 Mansureh S. Moghaddam Barend Harris Duseok Kang Inpyo Bae Euiseok Kim Hyemi Min Hansu Cho Sukjin Kim Bernhard Egger 0002 Soonhoi Ha Kiyoung Choi Incremental training of CNNs for user customization: work-in-progress. 9:1-9:2 2017 CASES https://doi.org/10.1145/3125501.3125519 https://www.wikidata.org/entity/Q130979068 conf/cases/2017 db/conf/cases/cases2017.html#MoghaddamHKBKMC17 Hansu Cho Kiyoung Choi Bernhard Egger 0002 Soonhoi Ha Barend Harris Duseok Kang Euiseok Kim Sukjin Kim Hyemi Min Mansureh S. Moghaddam