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Sung Ju Hwang
Sung Ju Hwang
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Lifelong learning with dynamically expandable networks
J Yoon, E Yang, J Lee, SJ Hwang
arXiv preprint arXiv:1708.01547, 2017
8502017
Learning to propagate labels: Transductive propagation network for few-shot learning
Y Liu, J Lee, M Park, S Kim, E Yang, SJ Hwang, Y Yang
arXiv preprint arXiv:1805.10002, 2018
6812018
Learning to quantize deep networks by optimizing quantization intervals with task loss
S Jung, C Son, S Lee, J Son, JJ Han, Y Kwak, SJ Hwang, C Choi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3392019
Adversarial self-supervised contrastive learning
M Kim, J Tack, SJ Hwang
Advances in Neural Information Processing Systems 33, 2983-2994, 2020
1682020
Combined group and exclusive sparsity for deep neural networks
J Yoon, SJ Hwang
International Conference on Machine Learning, 3958-3966, 2017
1532017
Sharing features between objects and their attributes
SJ Hwang, F Sha, K Grauman
CVPR 2011, 1761-1768, 2011
1532011
Self-supervised label augmentation via input transformations
H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 5714-5724, 2020
152*2020
Learning the relative importance of objects from tagged images for retrieval and cross-modal search
SJ Hwang, K Grauman
International journal of computer vision 100, 134-153, 2012
1402012
Federated semi-supervised learning with inter-client consistency & disjoint learning
W Jeong, J Yoon, E Yang, SJ Hwang
arXiv preprint arXiv:2006.12097, 2020
1252020
Reading between the lines: Object localization using implicit cues from image tags
SJ Hwang, K Grauman
IEEE transactions on pattern analysis and machine intelligence 34 (6), 1145-1158, 2011
1222011
Learning what and where to transfer
Y Jang, H Lee, SJ Hwang, J Shin
International conference on machine learning, 3030-3039, 2019
1152019
Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning
J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin
Advances in neural information processing systems 33, 14567-14579, 2020
1002020
Scalable and order-robust continual learning with additive parameter decomposition
J Yoon, S Kim, E Yang, SJ Hwang
arXiv preprint arXiv:1902.09432, 2019
1002019
Asymmetric multi-task learning based on task relatedness and loss
G Lee, E Yang, S Hwang
International conference on machine learning, 230-238, 2016
992016
Learning to balance: Bayesian meta-learning for imbalanced and out-of-distribution tasks
HB Lee, H Lee, D Na, S Kim, M Park, E Yang, SJ Hwang
arXiv preprint arXiv:1905.12917, 2019
932019
Accounting for the relative importance of objects in image retrieval.
SJ Hwang, K Grauman
BMVC 1 (2), 5, 2010
852010
Federated continual learning with weighted inter-client transfer
J Yoon, W Jeong, G Lee, E Yang, SJ Hwang
International Conference on Machine Learning, 12073-12086, 2021
83*2021
Learning a Tree of Metrics with Disjoint Visual Features
SJ Hwang, K Grauman, F Sha
83*
Uncertainty-aware attention for reliable interpretation and prediction
J Heo, HB Lee, S Kim, J Lee, KJ Kim, E Yang, SJ Hwang
Advances in neural information processing systems 31, 2018
802018
Mpvit: Multi-path vision transformer for dense prediction
Y Lee, J Kim, J Willette, SJ Hwang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
792022
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