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Sangwon Jung
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Continual learning with node-importance based adaptive group sparse regularization
S Jung, H Ahn, S Cha, T Moon
Advances in neural information processing systems 33, 3647-3658, 2020
922020
Dataset condensation with contrastive signals
S Lee, S Chun, S Jung, S Yun, S Yoon
International Conference on Machine Learning, 12352-12364, 2022
672022
Fair feature distillation for visual recognition
S Jung, D Lee, T Park, T Moon
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
642021
Learning fair classifiers with partially annotated group labels
S Jung, S Chun, T Moon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
412022
MEGA: Multi-view semi-supervised clustering of hypergraphs
JJ Whang, R Du, S Jung, G Lee, B Drake, Q Liu, S Kang, H Park
Proceedings of the VLDB Endowment 13 (5), 698-711, 2020
262020
Re-weighting based group fairness regularization via classwise robust optimization
S Jung, T Park, S Chun, T Moon
arXiv preprint arXiv:2303.00442, 2023
142023
Adaptive group sparse regularization for continual learning
S Jung, H Ahn, S Cha, T Moon
arXiv preprint arXiv:2003.13726, 2020
92020
Issues for Continual Learning in the Presence of Dataset Bias
D Lee, S Jung, T Moon
AAAI Bridge Program on Continual Causality, 92-99, 2023
12023
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
D Lee, S Jung, T Moon
The Twelfth International Conference on Learning Representations, 2023
2023
Continual Learning in the Presence of Spurious Correlation
D Lee, S Jung, T Moon
arXiv preprint arXiv:2303.11863, 2023
2023
Fair Feature Distillation Using Teacher Models of Larger Architecture
S Jung, T Moon
정보과학회논문지 48 (11), 1176-1183, 2021
2021
Supplementary Materials for Fair Feature Distillation for Visual Recognition
S Jung, D Lee, T Park, T Moon
Learning, 1, 2020
2020
Supplementary Materials for Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
S Jung, H Ahn, S Cha, T Moon
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Articles 1–13