Building Knowledge That’s Truly Implementable Tomorrow

Interspeech 2020

Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs

Seong Min Kye, Youngmoon Jung, Hae Beom Lee, Sung Ju Hwang, Hoirin Kim

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ICML 2020

Adversarial Neural Pruning with Latent Vulnerability Suppression

Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

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ICML 2020

Self-supervised Label Augmentation via Input Transformations

Hankook Lee, Sung Ju Hwang, Jinwoo Shin

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ICML 2020

Cost-effective Interactive Attention Learning with Neural Attention Processes

Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang

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ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning

A benchmark study on reliable molecular supervised learning via Bayesian learning

Doyeong Hwang, Grace Lee, Hanseok Jo, Seyoul Yoon, Seongok Ryu

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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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AAAI 2020

Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

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

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