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Gyeongdo Ham
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Journal Articles
- 2024
- [j6]Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim:
Difficulty level-based knowledge distillation. Neurocomputing 606: 128375 (2024) - [j5]Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim:
Maximizing discrimination capability of knowledge distillation with energy function. Knowl. Based Syst. 296: 111911 (2024) - 2023
- [j4]Minchan Kang, Woojin Jeong, Sanghyeok Son, Gyeongdo Ham, Dae-Shik Kim:
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling. Appl. Intell. 53(24): 30940-30953 (2023) - [j3]Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim:
Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. Pattern Recognit. 140: 109541 (2023) - 2022
- [j2]Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim:
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning. IEEE Access 10: 115652-115662 (2022) - [j1]Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi:
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. Adv. Intell. Syst. 4(6) (2022)
Informal and Other Publications
- 2023
- [i3]Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning. CoRR abs/2311.13934 (2023) - [i2]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) - [i1]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)
Coauthor Index
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