Hyeong Gwon Hong
5 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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Trend Setter
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Research topics
Machine Learning
(5)
Deep Learning
(3)
Architectures
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Security & Privacy
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Privacy
(1)
Keywords
continual learning
(2)
neural network
(2)
catastrophic forgetting
(1)
transfer learning
(1)
knowledge distillation
(1)
batch normalization
(1)
machine unlearning
(1)
neural network optimization
(1)
class imbalance
(1)
sequential learning
(1)
hessian approximation
(1)
quadratic penalty
(1)
convolutional neural network
(1)
hessian eigenvalue
(1)
imbalanced learning
(1)
weight decay
(1)
privacy leakage
(1)
gradient inversion attack
(1)
residual learning
(1)
hyperparameter selection
(1)
Papers
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
AAAI 2024
Disposable Transfer Learning for Selective Source Task Unlearning
ICCV 2023
De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning
WACV 2021
Continual Learning With Extended Kronecker-Factored Approximate Curvature
CVPR 2020
Residual Continual Learning
AAAI 2020