Building Knowledge That’s Truly Implementable Tomorrow

ICML 2019

Training CNNs with Selective Allocation of Channels

Jongheon Jeong, Jinwoo Shin

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ICML 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels

Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin

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arXiv'19

ORACLE: Order Robust Adaptive Continual Learning

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

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ICLR 2019

InstaGAN: Instance-aware Image-to-Image Translation

Sangwoo Mo, Minsu Cho and Jinwoo Shin

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ICLR 2019

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

Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang and Yi Yang

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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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