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Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding


Mar 02, 2021
Bruno Andreis, Jeffrey Willette, Juho Lee, Sung Ju Hwang

* 13 pages 

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Improving Uncertainty Calibration via Prior Augmented Data


Feb 22, 2021
Jeffrey Willette, Juho Lee, Sung Ju Hwang

* 9 pages 

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Attentive Clustering Processes


Oct 29, 2020
Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski


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Bootstrapping Neural Processes


Aug 07, 2020
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh


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Neural Complexity Measures


Aug 07, 2020
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi


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Stochastic Subset Selection


Jun 25, 2020
Tuan A. Nguyen, Bruno Andreis, Juho Lee, Eunho Yang, Sung Ju Hwang

* 15 pages 

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Cost-effective Interactive Attention Learning with Neural Attention Processes


Jun 09, 2020
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang


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Graph Embedding VAE: A Permutation Invariant Model of Graph Structure


Oct 17, 2019
Tony Duan, Juho Lee

* Presented at the NeurIPS 2019 Workshop on Graph Representation Learning 

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Deep Amortized Clustering


Sep 30, 2019
Juho Lee, Yoonho Lee, Yee Whye Teh


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A unified construction for series representations and finite approximations of completely random measures


May 26, 2019
Juho Lee, Xenia Miscouridou, Fran├žois Caron


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Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior


Feb 13, 2019
Fadhel Ayed, Juho Lee, Fran├žois Caron


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DropMax: Adaptive Variational Softmax


Nov 02, 2018
Hae Beom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang


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


Oct 03, 2018
Juho Lee, Lancelot F. James, Seungjin Choi, Fran├žois Caron


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Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning


Oct 02, 2018
Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sungju Hwang, Yi Yang

* 11 pages, 5 figures. We propose to learn to propagate labels and achieved the state-of-the-art on miniImagenet and tieredImagenet dataset 

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Set Transformer


Oct 01, 2018
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh


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Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare


Jun 05, 2018
Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang


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Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout


May 30, 2018
Juho Lee, Saehoon Kim, Jaehong Yoon, Hae Beom Lee, Eunho Yang, Sung Ju Hwang


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Uncertainty-Aware Attention for Reliable Interpretation and Prediction


May 24, 2018
Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang


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Bayesian inference on random simple graphs with power law degree distributions


Jun 18, 2017
Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi


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Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models


Nov 18, 2015
Juho Lee, Seungjin Choi

* 12 pages, 10 figures, NIPS-2015 

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Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility


Jun 03, 2015
Juho Lee, Seungjin Choi

* 10 pages, 2 figures, AISTATS-2015 

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