Building Knowledge That’s Truly Implementable Tomorrow

NIPS 2018

DropMax: Adaptive Variational Softmax

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NIPS 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
(* indicates equal contribution)
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NIPS 2018

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

Hajin Shim, Sung Ju Hwang and Eunho Yang
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NIPS 2018

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

Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang and Zhongfei Zhang
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NIPS 2018

Stochastic Chebyshev Gradient Descent for Spectral Optimization

Insu Han, Haim Avron and Jinwoo Shin
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Kimin Lee, Kibok Lee, Honglak Lee and Jinwoo Shin
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NIPS 2018

Learning to Specialize with Knowledge Distillation for Visual Question Answering

Jonghwan Mun, Kimin Lee, Jinwoo Shin and Bohyung Han
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NIPS 2018 Workshop on Metalearning

TAEML: Task-Adaptive Ensemble of Meta-Learners

Minseop Park, Saehoon Kim, Jungtaek Kim, Yanbin Liu, Seugnjin Choi
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Arxiv’18

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout

Juho LeeSaehoon Kim, Jaehong Yoon, Hae Beom LeeEunho YangSung Ju Hwang
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Arxiv’18

Transductive Propagation Network for Few-shot Learning

Yanbin LiuJuho LeeMinseop ParkSaehoon KimEunho YangSungju Hwang, Yi Yang
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Arxiv’18

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

Ingyo Chung, Saehoon KimJuho LeeSung Ju HwangEunho Yang
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