| Lifelong learning with dynamically expandable networks J Yoon, E Yang, J Lee, SJ Hwang arXiv preprint arXiv:1708.01547, 2017 | 1417 | 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 | 956 | 2018 |
| Federated semi-supervised learning with inter-client consistency & disjoint learning W Jeong, J Yoon, E Yang, SJ Hwang arXiv preprint arXiv:2006.12097, 2020 | 263 | 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 | 226 | 2021 |
| Graphical models via univariate exponential family distributions E Yang, P Ravikumar, GI Allen, Z Liu Journal of Machine Learning Research 16, 3813-3847, 2015 | 220 | 2015 |
| 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 | 210 | 2020 |
| Fedmix: Approximation of mixup under mean augmented federated learning T Yoon, S Shin, SJ Hwang, E Yang arXiv preprint arXiv:2107.00233, 2021 | 204 | 2021 |
| Graphical Models via Generalized Linear Models E Yang, P Ravikumar, G Allen, Z Liu Advances in Neural Information Processing Systems 25, 1367-1375, 2012 | 200 | 2012 |
| A review of multivariate distributions for count data derived from the Poisson distribution DI Inouye, E Yang, GI Allen, P Ravikumar Wiley Interdisciplinary Reviews: Computational Statistics 9 (3), e1398, 2017 | 191 | 2017 |
| Scalable and order-robust continual learning with additive parameter decomposition J Yoon, S Kim, E Yang, SJ Hwang arXiv preprint arXiv:1902.09432, 2019 | 188 | 2019 |
| 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 | 175 | 2021 |
| Online Coreset Selection for Rehearsal-based Continual Learning J Yoon, D Madaan, E Yang, SJ Hwang arXiv preprint arXiv:2106.01085, 2021 | 155 | 2021 |
| Mixed Graphical Models via Exponential Families E Yang, Y Baker, P Ravikumar, G Allen, Z Liu Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 148 | 2014 |
| Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks D Na, HB Lee, S Kim, M Park, E Yang, SJ Hwang arXiv preprint arXiv:1905.12917, 2019 | 134 | 2019 |
| Asymmetric Multi-task Learning based on Task Relatedness and Loss G Lee, E Yang, SJ Hwang Proceedings of The 33rd International Conference on Machine Learning, 230-238, 2016 | 126 | 2016 |
| On Poisson Graphical Models E Yang, P Ravikumar, GI Allen, Z Liu Advances in Neural Information Processing Systems, 1718-1726, 2013 | 109 | 2013 |
| 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, 909-918, 2018 | 107 | 2018 |
| On NDCG consistency of listwise ranking methods P Ravikumar, A Tewari, E Yang Proceedings of 14th International Conference on Artificial Intelligence and …, 2011 | 105 | 2011 |
| GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification J Park, J Song, E Yang International Conference on Learning Representations, 2021 | 103 | 2021 |
| Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding H Shim, SJ Hwang, E Yang Advances in Neural Information Processing Systems, 1373-1383, 2018 | 102* | 2018 |
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