| Lifelong Learning with Dynamically Expandable Networks J Yoon, E Yang, J Lee, SJ Hwang | 1024 | 2018 |
| LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING Y Liu, J Lee, M Park, S Kim, E Yang, S Hwang, Y Yang | 768 | 2018 |
| Graphical models via univariate exponential family distributions E Yang, P Ravikumar, GI Allen, Z Liu Journal of Machine Learning Research 16, 3813-3847, 2015 | 195 | 2015 |
| Graphical Models via Generalized Linear Models E Yang, P Ravikumar, G Allen, Z Liu Advances in Neural Information Processing Systems 25, 1367-1375, 2012 | 188 | 2012 |
| FEDERATED SEMI-SUPERVISED LEARNING WITH INTER-CLIENT CONSISTENCY & DISJOINT LEARNING W Jeong, J Yoon, E Yang, SJ Hwang | 164* | |
| 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 | 139 | 2017 |
| Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin arXiv preprint arXiv:2007.08844, 2020 | 129 | 2020 |
| 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 | 128 | 2014 |
| Scalable and Order-robust Continual Learning with Hierarchically Decomposed Networks J Yoon, S Kim, E Yang, SJ Hwang arXiv, arXiv: 1902.09432, 2019 | 121* | 2019 |
| Fedmix: Approximation of mixup under mean augmented federated learning T Yoon, S Shin, SJ Hwang, E Yang arXiv preprint arXiv:2107.00233, 2021 | 106 | 2021 |
| 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 | 106 | 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 | 105 | 2016 |
| Federated Continual Learning with Weighted Inter-client Transfer J Yoon, W Jeong, G Lee, E Yang, SJ Hwang | 100 | 2020 |
| On Poisson Graphical Models E Yang, P Ravikumar, GI Allen, Z Liu Advances in Neural Information Processing Systems, 1718-1726, 2013 | 97 | 2013 |
| Meta-StyleSpeech: Multi-Speaker Adaptive Text-to-Speech Generation D Min, DB Lee, E Yang, SJ Hwang arXiv preprint arXiv:2106.03153, 2021 | 93 | 2021 |
| On NDCG consistency of listwise ranking methods P Ravikumar, A Tewari, E Yang Proceedings of 14th International Conference on Artificial Intelligence and …, 2011 | 93 | 2011 |
| 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 | 92 | 2018 |
| Online Coreset Selection for Rehearsal-based Continual Learning J Yoon, D Madaan, E Yang, SJ Hwang arXiv preprint arXiv:2106.01085, 2021 | 87 | 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 | 74* | 2018 |
| Meta Dropout: Learning to Perturb Latent Features for Generalization HB Lee, T Nam, E Yang, SJ Hwang International Conference on Learning Representations, 2019 | 59 | 2019 |
Sung Ju HwangKAISTVerified email at kaist.ac.kr
