Zobrazeno 1 - 10
of 988
pro vyhledávání: '"Park, SungHo"'
Autor:
Ko, Hyunwoong, Yang, Kichang, Ryu, Minho, Choi, Taekyoon, Yang, Seungmu, Hyun, Jiwung, Park, Sungho, Park, Kyubyong
Polyglot is a pioneering project aimed at enhancing the non-English language performance of multilingual language models. Despite the availability of various multilingual models such as mBERT (Devlin et al., 2019), XGLM (Lin et al., 2022), and BLOOM
Externí odkaz:
http://arxiv.org/abs/2306.02254
Autor:
Park, Sungho
As the feature size is continuously decreasing and integration density is increasing, interconnections have become a dominating factor in determining the overall quality of a chip. Due to the limited scalability of system bus, it cannot meet the requ
Externí odkaz:
http://hdl.handle.net/1969.1/ETD-TAMU-2890
Learning visual representation of high quality is essential for image classification. Recently, a series of contrastive representation learning methods have achieved preeminent success. Particularly, SupCon outperformed the dominant methods based on
Externí odkaz:
http://arxiv.org/abs/2203.16209
Autor:
Park, Sungho1,2 (AUTHOR) sh.park@iae.re.kr, Lee, Changhyeong1 (AUTHOR) chlee@iae.re.kr, Chung, Sohmyung1 (AUTHOR) smchung@iae.re.kr, Hwang, Seonghyeon1 (AUTHOR) shhwang@iae.re.kr, Lim, Jongwoong1 (AUTHOR) limjw97@iae.re.kr, Chang, DaeJun2 (AUTHOR) djchang@kaist.ac.kr
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 17, p4415. 16p.
Publikováno v:
In Solar Energy 15 July 2024 277
Autor:
Park, Sungho
A bilinear formulation is used for developing the time finite element method (TFM) to obtain transient responses of both linear, nonlinear, damped and undamped systems. Also the formulation, used in the h-, p- and hp-versions, is extended and found t
Externí odkaz:
http://hdl.handle.net/10919/30693
http://scholar.lib.vt.edu/theses/available/etd-74913142975720/
http://scholar.lib.vt.edu/theses/available/etd-74913142975720/
In this paper, we introduce FairFaceGAN, a fairness-aware facial Image-to-Image translation model, mitigating the problem of unwanted translation in protected attributes (e.g., gender, age, race) during facial attributes editing. Unlike existing mode
Externí odkaz:
http://arxiv.org/abs/2012.00282
Fair representation learning aims to encode invariant representation with respect to the protected attribute, such as gender or age. In this paper, we design Fairness-aware Disentangling Variational AutoEncoder (FD-VAE) for fair representation learni
Externí odkaz:
http://arxiv.org/abs/2007.03775
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