ICML 2020 11편의 논문 채택!

KAIST AI대학원 소속 연구자들의 논문 11편이 ICML 2020 (the International Conference on Machine Learning) 학회에 채택되었습니다.
ICML은 세계 최고의 기계학습 학회 중의 하나로, 2020년에는 온라인으로 진행됩니다.

채택된 논문 목록:

“Batch Reinforcement Learning with Hyperparameter Gradients”
ByungJun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim and Kee-Eung Kim

“Variational Inference for Sequential Data with Future Likelihood Estimates”
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang and Kee-Eung Kim

“Learning De-biased Representations with Biased Representations”
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo and Seong Joon Oh

“Cost-effective Interactive Attention Learning with Neural Attention Process”
Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang and Sung Ju Hwang

“Meta Variance Transfer: Learning to Augment from the Others”
Seong Jin Park, Seungju Han, Ji-won Baek, Insoo Kim, Juhwan Song, Hae Beom Lee, Jae-Joon Han and Sung Ju Hwang

“Adversarial Neural Pruning with Latent Vulnerability Suppression”
Divyam Madaan, Jinwoo Shin and Sung Ju Hwang

“Self-supervised Label Augmentation via Input Transformations”
Hankook Lee, Sung Ju Hwang and Jinwoo Shin

“Learning What to Defer for Maximum Independent Sets”
Sungsoo Ahn, Younggyo Seo and Jinwoo Shin

“Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning”
Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee and Jinwoo Shin

“Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix”
Insu Han, Haim Avron and Jinwoo Shin

“FR-Train: A Mutual Information-based Approach to Fair and Robust Training”
Yuji Roh, Kangwook Lee, Steven Euijong Whang and Changho Suh