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Juho Lee
Juho Lee
Assistant professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
6272019
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
5652018
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 31, 2018
732018
Adversarial purification with score-based generative models
J Yoon, SJ Hwang, J Lee
International Conference on Machine Learning, 12062-12072, 2021
202021
Deep amortized clustering
J Lee, Y Lee, YW Teh
arXiv preprint arXiv:1909.13433, 2019
172019
Online video segmentation by bayesian split-merge clustering
J Lee, S Kwak, B Han, S Choi
European conference on computer vision, 856-869, 2012
162012
DropMax: Adaptive variational softmax
HB Lee, J Lee, S Kim, E Yang, SJ Hwang
Advances in Neural Information Processing Systems 31, 2018
142018
Setvae: Learning hierarchical composition for generative modeling of set-structured data
J Kim, J Yoo, J Lee, S Hong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
132021
Bootstrapping neural processes
J Lee, Y Lee, J Kim, E Yang, SJ Hwang, YW Teh
Advances in neural information processing systems 33, 6606-6615, 2020
122020
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
102019
Deep mixed effect model using Gaussian processes: a personalized and reliable prediction for healthcare
I Chung, S Kim, J Lee, KJ Kim, SJ Hwang, E Yang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3649-3657, 2020
92020
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
82018
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
82016
Bayesian hierarchical clustering with exponential family: small-variance asymptotics and reducibility
J Lee, S Choi
Artificial Intelligence and Statistics, 581-589, 2015
82015
Diversity matters when learning from ensembles
G Nam, J Yoon, Y Lee, J Lee
Advances in Neural Information Processing Systems 34, 8367-8377, 2021
72021
Learning to perturb word embeddings for out-of-distribution QA
S Lee, M Kang, J Lee, SJ Hwang
arXiv preprint arXiv:2105.02692, 2021
72021
A multi-mode modulator for multi-domain few-shot classification
Y Liu, J Lee, L Zhu, L Chen, H Shi, Y Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
Cost-effective interactive attention learning with neural attention processes
J Heo, J Park, H Jeong, KJ Kim, J Lee, E Yang, SJ Hwang
International Conference on Machine Learning, 4228-4238, 2020
72020
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
72017
Neural complexity measures
Y Lee, J Lee, SJ Hwang, E Yang, S Choi
Advances in Neural Information Processing Systems 33, 9713-9724, 2020
62020
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