Gihun Lee

According to our database, Gihun Lee authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform.

Beomsu Kim, Sangbum Kim, Minchan Kim, Joonyoung Yi, Sungjoo Ha, Suhyun Lee, Youngsoo Lee, Gihun Yeom, Buru Chang, Gihun Lee

CoRR, 2024

Learning to Summarize from LLM-generated Feedback.

Hwanjun Song, Taewon Yun, Yuho Lee, Gihun Lee, Jason Cai, Hang Su

CoRR, 2024

BAPO: Base-Anchored Preference Optimization for Personalized Alignment in Large Language Models.

Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook Kim, Se-Young Yun

CoRR, 2024

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions.

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization.

Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning.

Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning.

Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun

CoRR, 2023

Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

CoRR, 2023

FedSoL: Bridging Global Alignment and Local Generality in Federated Learning.

Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun

CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

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

CoRR, 2023

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy.

Gihun Lee, SangMook Kim, Joonkee Kim, Se-Young Yun

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning.

Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision.

Gihun Lee, Mihui Kim

Sensors, 2021

Self-Contrastive Learning.

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

CoRR, 2021

Preservation of the Global Knowledge by Not-True Self Knowledge Distillation in Federated Learning.

Gihun Lee, Yongjin Shin, Minchan Jeong, Se-Young Yun

CoRR, 2021

2020

MixCo: Mix-up Contrastive Learning for Visual Representation.

Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun

CoRR, 2020

SIPA: A Simple Framework for Efficient Networks.

Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

FEWER: Federated Weight Recovery.

Yongjin Shin, Gihun Lee, Seungjae Shin, Seyoung Yun, Il-Chul Moon

Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020