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ORCIDHyeonmin Ha
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2020 – today
- 2023
[c6]Hyeonmin Ha, Soyoung Jung, Jinsol Park, Minjoon Seo, Seung-won Hwang, Byung-Gon Chun:
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning. ACL (Findings) 2023: 3335-3350- [c5]Hyeonmin Ha, Jihye Lee, Wookje Han, Byung-Gon Chun:
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service. EMNLP (Findings) 2023: 2433-2445 - 2022
- [c4]Hyeonmin Ha, Ji-Hoon Kim
, Semin Park, Byung-Gon Chun:
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. ICLR 2022 - 2021
- [c3]Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyung-Geun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun:
Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. USENIX ATC 2021: 537-550
2010 – 2019
- 2019
- [c2]Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun:
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. EuroSys 2019: 43:1-43:15 - 2018
- [i1]Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun:
Parallax: Automatic Data-Parallel Training of Deep Neural Networks. CoRR abs/1808.02621 (2018) - 2017
- [c1]Taehun Kim, Hyeonmin Ha, Seoyoon Choi, Jaeyeon Jung, Byung-Gon Chun:
Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. AsiaCCS 2017: 179-192
Coauthor Index
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