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Seonghak Kim
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2020 – today
- 2024
- [j4]Seonghak Kim
, Gyeongdo Ham
Maximizing discrimination capability of knowledge distillation with energy function. Knowl. Based Syst. 296: 111911 (2024) - [j3]Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning. IEEE Trans. Knowl. Data Eng. 36(12): 9163-9175 (2024) - [c6]Joonhyeok Jang, Sunhyeok Lee, Seonghak Kim, Jung-Un Kim, Seonghyun Kim, Daeshik Kim:
Robust Unsupervised Domain Adaptation through Negative-View Regularization. WACV 2024: 2450-2459 - 2023
- [i6]Hyung Jun Choi, Seonghak Kim, Youngwoo Koh:
Time splitting method for nonlinear Schrödinger equation with rough initial data in L2. CoRR abs/2305.07410 (2023) - [i5]Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning. CoRR abs/2311.13934 (2023) - [i4]Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim:
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. CoRR abs/2311.14307 (2023) - [i3]Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim:
Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score. CoRR abs/2311.14334 (2023) - 2022
- [c5]Seonghak Kim
EvalRound Algorithm in CKKS Bootstrapping. ASIACRYPT (2) 2022: 161-187 - [i2]Seonghak Kim, Minji Park, Jaehyung Kim, Taekyung Kim, Chohong Min:
EvalRound Algorithm in CKKS Bootstrapping. IACR Cryptol. ePrint Arch. 2022: 1256 (2022) - 2021
- [c4]Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. HPCA 2021: 584-597 - 2020
- [c3]Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song
A3: Accelerating Attention Mechanisms in Neural Networks with Approximation. HPCA 2020: 328-341 - [i1]Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong:
A3: Accelerating Attention Mechanisms in Neural Networks with Approximation. CoRR abs/2002.10941 (2020)
2010 – 2019
- 2019
- [c2]Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee:
Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. MICRO 2019: 726-739 - 2018
- [j2]Hoang-Hung Vo, Seonghak Kim
Convex Integration for Scalar Conservation Laws in One Space Dimension. SIAM J. Math. Anal. 50(3): 3122-3146 (2018) - [c1]Young H. Oh, Quan Quan, Daeyeon Kim, Seonghak Kim, Jun Heo, Sungjun Jung, Jaeyoung Jang, Jae W. Lee:
A portable, automatic data qantizer for deep neural networks. PACT 2018: 17:1-17:14 - 2015
- [j1]Seonghak Kim
Convex Integration and Infinitely Many Weak Solutions to the Perona-Malik Equation in All Dimensions. SIAM J. Math. Anal. 47(4): 2770-2794 (2015)
Coauthor Index
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last updated on 2024-12-01 01:10 CET by the dblp team
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