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Gihun Lee
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Journal Articles
- 2021
- [j1]Gihun Lee, Mihui Kim
:
Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision. Sensors 21(21): 7367 (2021)
Conference and Workshop Papers
- 2024
- [c6]Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions. ICLR 2024 - 2023
- [c5]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI 2023: 197-205 - 2022
- [c4]Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun:
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. NeurIPS 2022 - [c3]Gihun Lee, SangMook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. Cell Segmentation Challenge @ NeurIPS 2022: 1-16 - 2020
- [c2]Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun
, Il-Chul Moon:
FEWER: Federated Weight Recovery. DistributedML@CoNEXT 2020: 1-6 - [c1]Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun
:
SIPA: A Simple Framework for Efficient Networks. ICDM (Workshops) 2020: 729-736
Informal and Other Publications
- 2024
- [i10]Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun:
BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models. CoRR abs/2407.00693 (2024) - 2023
- [i9]Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid
, José Guilherme de Almeida
, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini
, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang:
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. CoRR abs/2308.05864 (2023) - [i8]Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning. CoRR abs/2308.12532 (2023) - [i7]Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun:
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions. CoRR abs/2311.00233 (2023) - [i6]Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun:
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning. CoRR abs/2311.13267 (2023) - 2022
- [i5]Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. CoRR abs/2212.03465 (2022) - 2021
- [i4]Gihun Lee, Yongjin Shin, Minchan Jeong, Se-Young Yun:
Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning. CoRR abs/2106.03097 (2021) - [i3]Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning. CoRR abs/2106.15499 (2021) - 2020
- [i2]Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun:
SIPA: A Simple Framework for Efficient Networks. CoRR abs/2004.14476 (2020) - [i1]Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun:
MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR abs/2010.06300 (2020)
Coauthor Index
aka: Seyoung Yun
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