AITRICS

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

View Publication

Building Knowledge That’s Truly Implementable Tomorrow

ICML 2019

Training CNNs with Selective Allocation of Channels

Jongheon Jeong, Jinwoo Shin

ICML 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels

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

arXiv'19

ORACLE: Order Robust Adaptive Continual Learning

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

ICLR 2019

InstaGAN: Instance-aware Image-to-Image Translation

Sangwoo Mo, Minsu Cho and Jinwoo Shin

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

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

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

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

NeurIPS 2018

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

Kimin Lee, Kibok Lee, Honglak Lee and Jinwoo Shin

NeurIPS 2018

Stochastic Chebyshev Gradient Descent for Spectral Optimization

Insu Han, Haim Avron and Jinwoo Shin