Building Knowledge That’s Truly Implementable Tomorrow

ICLR 2020

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

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ICLR 2020

Meta Dropout: Learning to Perturb Latent Features for Generalization

Hae Beom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang

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ICLR 2020

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Jaehong Yoon, Saehoon Kim, Eunho Yang and Sung Ju Hwang

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ICLR 2020

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks

Hae Beom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang

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

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NeurIPS 2019 Workshop on Bayesian Deep Learning

Deep Gaussian Processes for Weakly Supervised Learning: Tumor Mutation Burden (TMB) Prediction

Sunho Park, Hongming Xu, Tae Hyun Hwang, Saehoon Kim

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NeurIPS 2019 Workshop on Sets & Partitions

Towards Deep Amortized Clustering

Juho Lee, Yoonho Lee and Yee Whye Teh

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NeurIPS 2019 Workshop on Graph Representation Learning

Graph Embedding VAE: A Permutation Invariant Model of Graph Structure

Tony Duan and Juho Lee

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Critical Care

A Deep Learning Model for Real-time Mortality Prediction in Critically ill Children

* Soo Yeon Kim, * Saehoon Kim, Joongbum Cho, Young Suh Kim, In Suk Sol, Youngchul Sung, Inhyeok Cho, Minseop Park, Haerin Jang, Yoon Hee Kim, ** Kyung Won Kim and Myung Hyun Sohn (*: equal contribution, **: corresponding)

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ACL 2019

Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data

Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang

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