“Automated Dominative Subspace Mining for Efficient Neural Architecture Search,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 10, 2024.
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BibTeX
@article{Chen2024c, TITLE = {Automated Dominative Subspace Mining for Efficient Neural Architecture Search}, AUTHOR = {Chen, Yaofo and Guo, Yong and Liao, Daihai and Lv, Fanbing and Song, Hengjie and Kwok, James Tin-Yau}, LANGUAGE = {eng}, ISSN = {1051-8215}, DOI = {10.1109/TCSVT.2024.3395463}, PUBLISHER = {IEEE}, ADDRESS = {Piscataway, NJ}, YEAR = {2024}, MARGINALMARK = {$\bullet$}, DATE = {2024}, JOURNAL = {IEEE Transactions on Circuits and Systems for Video Technology}, VOLUME = {34}, NUMBER = {10}, PAGES = {9281--9297}, }
Endnote
%0 Journal Article %A Chen, Yaofo %A Guo, Yong %A Liao, Daihai %A Lv, Fanbing %A Song, Hengjie %A Kwok, James Tin-Yau %+ External Organizations Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Automated Dominative Subspace Mining for Efficient Neural Architecture Search : %G eng %U http://hdl.handle.net/21.11116/0000-0010-38C6-0 %R 10.1109/TCSVT.2024.3395463 %7 2024-04-30 %D 2024 %J IEEE Transactions on Circuits and Systems for Video Technology %V 34 %N 10 %& 9281 %P 9281 - 9297 %I IEEE %C Piscataway, NJ %@ false