Hyeong Gwon Hong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Transfer Learning

Reconstruction Quality

Manifold Alignment

Top Venues

Publications

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. AAAI (2024)
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. CoRR (2023)
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
Localization using Multi-Focal Spatial Attention for Masked Face Recognition. CoRR (2023)
Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
Disposable Transfer Learning for Selective Source Task Unlearning. CoRR (2023)
Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim
Localization using Multi-Focal Spatial Attention for Masked Face Recognition. FG (2023)
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
Data Poisoning Attack Aiming the Vulnerability of Continual Learning. ICIP (2023)
Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim
Disposable Transfer Learning for Selective Source Task Unlearning. ICCV (2023)
Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim
Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. CoRR (2022)
Seung Ho Na, Hyeong Gwon Hong, Junmo Kim, Seungwon Shin
Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint. ACSAC (2022)
Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks. ICIP (2022)
Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim
Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks. CoRR (2022)
Pyunghwan Ahn, Hyeong Gwon Hong, Junmo Kim
Differentiable Architecture Search Based on Coordinate Descent. IEEE Access 9 (2021)
Byungju Kim, Hyeong Gwon Hong, Junmo Kim
De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning. WACV (2021)
Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
Residual Continual Learning. AAAI (2020)
Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
Residual Continual Learning. CoRR (2020)
Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
Continual Learning with Extended Kronecker-factored Approximate Curvature. CoRR (2020)
Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim
Continual Learning With Extended Kronecker-Factored Approximate Curvature. CVPR (2020)
Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim
EDAS: Efficient and Differentiable Architecture Search. CoRR (2019)