Building Knowledge That’s Truly Implementable Tomorrow

AISTATS’19 (oral presentation)

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

Juho Lee, Lancelot James, Seungjin Choi and François Caron

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arXiv’18

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout

Juho Lee, Saehoon Kim, Jaehong Yoon, Hae Beom Lee, Eunho Yang and Sung Ju Hwang

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arXiv’18

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

Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang and Eunho Yang

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NeurIPS 2018

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Kimin Lee, Kibok Lee, Honglak Lee and Jinwoo Shin

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NeurIPS 2018

Stochastic Chebyshev Gradient Descent for Spectral Optimization

Insu Han, Haim Avron and Jinwoo Shin

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NeurIPS 2018

Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning

IYunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang and Zhongfei Zhang

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NeurIPS 2018

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding

Hajin Shim, Sung Ju Hwang and Eunho Yang

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NeurIPS 2018

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwangjun Kim, Eunho Yang and Sung Ju Hwang

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NeurIPS 2018

DropMax: Adaptive Variational Softmax

Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang and Sung Ju Hwang

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NeurIPS 2018 Workshop on Metalearning

TAEML: Task-Adaptive Ensemble of Meta-Learners

Minseop Park, Saehoon Kim, Jungtaek Kim, Yanbin Liu and Seungjin Choi

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