AIIS researchers' papers were accepted at ICML 2020 as below. 

ICML 2020

• Principled learning method for Wasserstein distributionally robust optimization with local perturbations (Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik) #조명희 교수
• Feature-map-level Online Adversarial Knowledge Distillation (Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak) #곽노준 교수
• Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup (Jang-Hyun Kim, Wonho Choo, Hyun Oh Song) #송오현 교수