Oh, Jaehoon

8 publications

ICML 2025 OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM Inference Seungjun Shin, Jaehoon Oh, Dokwan Oh

CVPR 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee, Minchan Jeong, Sangmook Kim, Jaehoon Oh, Se-Young Yun

NeurIPSW 2023 FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning Seongyoon Kim, Gihun Lee, Jaehoon Oh, Se-Young Yun

NeurIPSW 2023 FedSoL: Bridging Global Alignment and Local Generality in Federated Learning Gihun Lee, Minchan Jeong, SangMook Kim, Jaehoon Oh, Se-Young Yun

ICLR 2022 FedBABU: Toward Enhanced Representation for Federated Image Classification Jaehoon Oh, SangMook Kim, Se-Young Yun

NeurIPS 2022 Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

ICLR 2021 BOIL: Towards Representation Change for Few-Shot Learning Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun

IJCAI 2021 Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun