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Results 1-10 of 29 (Search time: 0.005 seconds).

NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
1
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Lee, Juho; Lee, Yoonho; Kim, Jungtaek; Kosiorek, Adam R.; Choi, Seungjin; Teh, Yee Whye, International Conference on Machine Learning, pp.3744 - 3753, International Conference on Machine Learning, 2019-06-11

2
Beyond the Chinese restaurant and Pitman-Yor processes: statistical models with double power-law behavior

Ayed, Fadhel; Lee, Juho; Caron, François, International Conference on Machine Learning(ICML 2019), International Conference on Machine Learning, 2019-06-12

3
Bayesian inference on random simple graphs with power law degree distributions

Lee, Juho; Heakulani, Creighton; Ghahramani, Z; James, Lancelot F.; Choi, Seungjin, International Conference on Machine Learning(ICML 2017), International Machine Learning Society (IMLS), 2017-08-08

4
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure

Lee, Juho; James, Lancelot F; Choi, Seungjin; Caron, François, Artificial Intelligence & Statistics 2019(AISTATS 2019), Artificial Intelligence & Statistics, 2019-04-17

5
Tree-guided MCMC inference for normalized random measure mixture models

Lee, Juho; Choi, Seungjin, Advances in Neural Information Processing Systems (NIPS 2015), Neural Information Processing Systems Foundation, 2015-12-10

6
Finite-dimensional BFRY priors and variational Bayesian inference for power law models

Lee, Juho; James, Lancelot F.; Choi, Seungjin, Advances in Neural Information Processing Systems (NIPS 2016), Neural Information Processing Systems Foundation, 2016-12-07

7
Scale mixtures of neural network Gaussian processes

Lee, Hyungi; Yun, Eunggu; Yang, Hongseok; Lee, Juho, Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, 2022-04-25

8
Meta learning low rank covariance factors for energy-based deterministic uncertainty

Willette, Jeffrey Ryan; Lee, Hae Beom; Lee, Juho; Hwang, Sung Ju, Tenth International Conference on Learning Representations, International Conference on Learning Representations, 2022-04-27

9
Sequential reptile: inter-task gradient alignment for multilingual learning

Lee, Seanie; Lee, Hae Beom; Lee, Juho; Hwang, Sung Ju, Tenth International Conference on Learning Representations, International Conference on Learning Representations, 2022-04-29

10
Set-based meta-interpolation for few-task meta-learning

Lee, Seanie; Andries, Bruno; Kawaguchi, Kenji; Lee, Juho; Hwang, Sung Ju, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-11-30

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