Results 1-10 of 29 (Search time: 0.005 seconds).
NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
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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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 |