Hyeong Gwon Hong

21 papers A* 5A 2B 3Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation.
CoRR
Yooshin Cho, Hanbyel Cho, Janghyeon Lee, Hyeong Gwon Hong, Jaesung Ahn, Junmo Kim
2025 J jnl
Self-supervised Transformation Learning for Equivariant Representations.
CoRR
Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, Hyeong Gwon Hong, Junmo Kim
2024 A* conf
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective.
AAAI
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
2024 A* conf
Self-supervised Transformation Learning for Equivariant Representations.
NeurIPS
Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, Hyeong Gwon Hong, Junmo Kim
2023 B conf
Data Poisoning Attack Aiming the Vulnerability of Continual Learning.
ICIP
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
2023 A* conf
Disposable Transfer Learning for Selective Source Task Unlearning.
ICCV
Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
2023 J jnl
Disposable Transfer Learning for Selective Source Task Unlearning.
CoRR
Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
2023 J jnl
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective.
CoRR
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
2023 B conf
Localization using Multi-Focal Spatial Attention for Masked Face Recognition.
FG
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
2023 J jnl
Localization using Multi-Focal Spatial Attention for Masked Face Recognition.
CoRR
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
2022 A conf
Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint.
ACSAC
Seung Ho Na, Hyeong Gwon Hong, Junmo Kim, Seungwon Shin
2022 J jnl
Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks.
CoRR
Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
2022 B conf
Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks.
ICIP
Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
2022 J jnl
Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning.
CoRR
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
2021 A conf
De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning.
WACV
Byungju Kim, Hyeong Gwon Hong, Junmo Kim
2021 J jnl
Differentiable Architecture Search Based on Coordinate Descent.
IEEE Access
Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim
2020 A* conf
Continual Learning With Extended Kronecker-Factored Approximate Curvature.
CVPR
Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
2020 J jnl
Continual Learning with Extended Kronecker-factored Approximate Curvature.
CoRR
Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
2020 A* conf
Residual Continual Learning.
AAAI
Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
2020 J jnl
Residual Continual Learning.
CoRR
Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
2019 J jnl
EDAS: Efficient and Differentiable Architecture Search.
CoRR
Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim