Session-aware Linear Item-Item Models for Session-based Recommendation (심현정 교수님 연구실)

Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation (심현정 교수님 연구실)

Region-based Dropout with Attention Prior for Weakly Supervised Object Localization (심현정 교수님 연구실)

Vector Quantized Bayesian Neural Network Inference for Data Streams (김성국 교수님 연구실)

Local Critic Training for Model-Parallel Learning of Deep Neural Networks (이종석 교수님 연구실)

Kaleidoscopic fluorescent arrays for machine-learning-based point-of-care chemical sensing (고정길 교수님 연구실)

[공지] 연세대학교 글로벌융합공학부의 우수 연구 결과물을 소개합니다