Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jooyeon Choi"'
Publikováno v:
IEEE Access, Vol 7, Pp 121998-122005 (2019)
This article presents a concrete mathematical analysis on Information-Theoretic Metric Learning (ITML). The analysis provides a theoretical foundation for ITML, by supplying well-posedness, strong duality, and convergence. Our analysis suggests the c
Externí odkaz:
https://doaj.org/article/3b36d08d5b714c0fa5bb64e079332e1a
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:5220-5231
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72db46ff67bb678a5f9cc9dffc889b87
https://doi.org/10.1109/tcad.2022.3150249
https://doi.org/10.1109/tcad.2022.3150249
Publikováno v:
IEEE Access, Vol 7, Pp 121998-122005 (2019)
This article presents a concrete mathematical analysis on Information-Theoretic Metric Learning (ITML). The analysis provides a theoretical foundation for ITML, by supplying well-posedness, strong duality, and convergence. Our analysis suggests the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ea0c6bd842ab5cda80197e30f1df2bc
https://doi.org/10.1109/access.2019.2937973
https://doi.org/10.1109/access.2019.2937973
Publikováno v:
ISLPED
While sparsity has been exploited in many inference accelerators, not much work is done for training accelerators. Exploiting sparsity in training accelerators involves multiple issues, including where to find sparsity, how to exploit sparsity, and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f21222938e32db80c0faeaf579f813
https://doi.org/10.1145/3370748.3406554
https://doi.org/10.1145/3370748.3406554
Publikováno v:
DAC
Despite the multifaceted benefits of stochastic computing (SC) such as low cost, low power, and flexible precision, SC-based deep neural networks (DNNs) still suffer from the long-latency problem, especially for those with high precision requirements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c51cd460425177ccf19c4fe18cb373
https://doi.org/10.1145/3316781.3317916
https://doi.org/10.1145/3316781.3317916