Building Knowledge That’s Truly Implementable Tomorrow

NeurIPS 2018

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

Kimin Lee, Kibok Lee, Honglak Lee and Jinwoo Shin

Read More
View Publication

NeurIPS 2018

Stochastic Chebyshev Gradient Descent for Spectral Optimization

Insu Han, Haim Avron and Jinwoo Shin

Read More
View Publication

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

Read More
View Publication

NeurIPS 2018

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

Hajin Shim, Sung Ju Hwang and Eunho Yang

Read More
View Publication

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

Read More
View Publication

NeurIPS 2018

DropMax: Adaptive Variational Softmax

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

Read More
View Publication

NeurIPS 2018 Workshop on Metalearning

TAEML: Task-Adaptive Ensemble of Meta-Learners

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

Read More
View Publication

ICML 2018

Bucket Renormalization for Approximate Inference

Sungsoo Ahn, Michael Chertkov, Adrian Weller and Jinwoo Shin

Read More
View Publication

Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao and Yizhou Wang

Read More
View Publication

ICML 2018

Deep Asymmetric Multi-task Feature Learning

Hae Beom Lee, Eunho Yang and Sung Ju Hwang

Read More
View Publication