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2020 – today
- 2024
[c7]Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun:
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning. CVPR 2024: 12512-12522- [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 - [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
- [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 - [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
- [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 - [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
- [j1]Gihun Lee, Mihui Kim:
Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision. Sensors 21(21): 7367 (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
- [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 - [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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