| 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 | 195 | 2018 |
| Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks J Lee, Y Lee, J Kim, A Kosiorek, S Choi, YW Teh International Conference on Machine Learning, 3744-3753, 2019 | 121 | 2019 |
| Uncertainty-aware attention for reliable interpretation and prediction J Heo, HB Lee, S Kim, J Lee, KJ Kim, E Yang, SJ Hwang arXiv preprint arXiv:1805.09653, 2018 | 34 | 2018 |
| Online video segmentation by bayesian split-merge clustering J Lee, S Kwak, B Han, S Choi European conference on computer vision, 856-869, 2012 | 16 | 2012 |
| DropMax: Adaptive variational softmax HB Lee, J Lee, S Kim, E Yang, SJ Hwang arXiv preprint arXiv:1712.07834, 2017 | 10 | 2017 |
| Bayesian inference on random simple graphs with power law degree distributions J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi International Conference on Machine Learning, 2004-2013, 2017 | 6 | 2017 |
| Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models J Lee, LF James, S Choi Advances in Neural Information Processing Systems, 2016 | 6 | 2016 |
| Deep amortized clustering J Lee, Y Lee, YW Teh arXiv preprint arXiv:1909.13433, 2019 | 5 | 2019 |
| Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior F Ayed, J Lee, F Caron International Conference on Machine Learning, 2019 | 5 | 2019 |
| Bayesian hierarchical clustering with exponential family: Small-variance asymptotics and reducibility J Lee, S Choi Artificial Intelligence and Statistics, 581-589, 2015 | 5 | 2015 |
| Incremental tree-based inference with dependent normalized random measures J Lee, S Choi Artificial Intelligence and Statistics, 558-566, 2014 | 4 | 2014 |
| A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure J Lee, LF James, S Choi, F Caron arXiv preprint arXiv:1810.01778, 2018 | 3 | 2018 |
| A unified construction for series representations and finite approximations of completely random measures J Lee, X Miscouridou, F Caron arXiv preprint arXiv:1905.10733, 2019 | 1 | 2019 |
| Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout J Lee, S Kim, J Yoon, HB Lee, E Yang, SJ Hwang arXiv preprint arXiv:1805.10896, 2018 | 1 | 2018 |
| Neural complexity measures Y Lee, J Lee, SJ Hwang, E Yang, S Choi arXiv preprint arXiv:2008.02953, 2020 | | 2020 |
| Bootstrapping neural processes J Lee, Y Lee, J Kim, E Yang, SJ Hwang, YW Teh arXiv preprint arXiv:2008.02956, 2020 | | 2020 |
| Graph Embedding VAE: A Permutation Invariant Model of Graph Structure T Duan, J Lee arXiv preprint arXiv:1910.08057, 2019 | | 2019 |
| Tree-guided MCMC inference for normalized random measure mixture models J Lee, S Choi arXiv preprint arXiv:1511.05650, 2015 | | 2015 |
Seungjin ChoiProfessor of Computer Science, Pohang University of Science and TechnologyVerified email at postech.ac.kr
