Juho Lee
Juho Lee
Assistant professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
1402018
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
782019
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
252018
Online video segmentation by bayesian split-merge clustering
J Lee, S Kwak, B Han, S Choi
European conference on computer vision, 856-869, 2012
152012
DropMax: Adaptive variational softmax
HB Lee, J Lee, S Kim, E Yang, SJ Hwang
Advances in Neural Information Processing Systems, 919-929, 2018
6*2018
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
62016
Bayesian inference on random simple graphs with power law degree distributions
J Lee, C Heaukulani, Z Ghahramani, LF James, S Choi
arXiv preprint arXiv:1702.08239, 2017
52017
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
42019
Bayesian hierarchical clustering with exponential family: small-variance asymptotics and reducibility
J Lee, S Choi
Artificial Intelligence and Statistics, 581-589, 2015
42015
Incremental tree-based inference with dependent normalized random measures
J Lee, S Choi
Artificial Intelligence and Statistics, 558-566, 2014
42014
Deep amortized clustering
J Lee, Y Lee, YW Teh
arXiv preprint arXiv:1909.13433, 2019
22019
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
22018
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
12018
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
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
2019
Tree-guided MCMC inference for normalized random measure mixture models
J Lee, S Choi
Advances in Neural Information Processing Systems, 1891-1899, 2015
2015
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