Lifelong learning with dynamically expandable networks J Yoon, E Yang, J Lee, SJ Hwang arXiv preprint arXiv:1708.01547, 2017 | 1228 | 2017 |
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 | 861 | 2018 |
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 | 447 | 2019 |
Self-supervised label augmentation via input transformations H Lee, SJ Hwang, J Shin International conference on machine learning, 5714-5724, 2020 | 244* | 2020 |
Adversarial self-supervised contrastive learning M Kim, J Tack, SJ Hwang Advances in Neural Information Processing Systems 33, 2983-2994, 2020 | 243 | 2020 |
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 | 234 | 2022 |
Federated semi-supervised learning with inter-client consistency & disjoint learning W Jeong, J Yoon, E Yang, SJ Hwang arXiv preprint arXiv:2006.12097, 2020 | 214 | 2020 |
Combined group and exclusive sparsity for deep neural networks J Yoon, SJ Hwang International Conference on Machine Learning, 3958-3966, 2017 | 182 | 2017 |
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 | 173 | 2020 |
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 | 171 | 2021 |
Score-based generative modeling of graphs via the system of stochastic differential equations J Jo, S Lee, SJ Hwang International Conference on Machine Learning, 10362-10383, 2022 | 166 | 2022 |
Learning what and where to transfer Y Jang, H Lee, SJ Hwang, J Shin International conference on machine learning, 3030-3039, 2019 | 165 | 2019 |
Accurate learning of graph representations with graph multiset pooling J Baek, M Kang, SJ Hwang arXiv preprint arXiv:2102.11533, 2021 | 164 | 2021 |
Sharing features between objects and their attributes SJ Hwang, F Sha, K Grauman CVPR 2011, 1761-1768, 2011 | 156 | 2011 |
Scalable and order-robust continual learning with additive parameter decomposition J Yoon, S Kim, E Yang, SJ Hwang arXiv preprint arXiv:1902.09432, 2019 | 152 | 2019 |
Fedmix: Approximation of mixup under mean augmented federated learning T Yoon, S Shin, SJ Hwang, E Yang arXiv preprint arXiv:2107.00233, 2021 | 150 | 2021 |
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 | 145 | 2012 |
Online coreset selection for rehearsal-based continual learning J Yoon, D Madaan, E Yang, SJ Hwang arXiv preprint arXiv:2106.01085, 2021 | 126 | 2021 |
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 | 124 | 2011 |
Meta-stylespeech: Multi-speaker adaptive text-to-speech generation D Min, DB Lee, E Yang, SJ Hwang International Conference on Machine Learning, 7748-7759, 2021 | 123 | 2021 |