Building Knowledge That’s Truly Implementable Tomorrow

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

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NeurIPS 2018

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

Hajin Shim, Sung Ju Hwang and Eunho Yang

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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

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NeurIPS 2018

DropMax: Adaptive Variational Softmax

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

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NeurIPS 2018 Workshop on Metalearning

TAEML: Task-Adaptive Ensemble of Meta-Learners

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

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ICML 2018

Bucket Renormalization for Approximate Inference

Sungsoo Ahn, Michael Chertkov, Adrian Weller and Jinwoo Shin

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ICML 2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

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

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ICML 2018

Deep Asymmetric Multi-task Feature Learning

Hae Beom Lee, Eunho Yang and Sung Ju Hwang

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ICLR 2018

Lifelong Learning with Dynamically Expandable Networks

Jaehong Yoon, Eunho Yang, Jeongtae Lee and Sungju Hwang

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NIPS 2017 Workshop on Bayesian Optimization

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization

Jungtaek Kim, Saehoon Kim and Seungjin Choi

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