Privacy Risks and Perceived Benefits in Open Datas..

Privacy Risks and Perceived Benefits in Open Dataset Collection for Emotion AI Research Hyunso Lee, a Ph.D. candidate (advisor:

Development of Data Cleansing Technology That Can ..

< Photograph of the researchers (Dr. Dongmin Park, Professor Jaegil Lee)> Recently, services using deep learning technolo

FedBalancer： Data and Pace Control for Efficient F..

Federated Learning (FL) trains a machine learning model on distributed clients without exposing individual data. Unlike centralize

PartGlot： Learning Shape Part Segmentation from La..

Juil Koo (advisor: Minhyuk Sung), a master's student at KAIST School of Computing, has introduced a novel approach to learning

Differentiable transient rendering for non-line-of..

Rendering includes techniques and theories to simulate light transport effects on 3D scenes such as reflection, refraction, and sc

Confidence-Based Robot Navigation Under Sensor Occ..

Professor Sung-Eui Yoon from the school of computing at KAIST has developed a robust robot navigation method under sensor occlusio

Designing a digital health service that supports h..

Professor Uichin Lee’s research team from the School of Computing at KAIST and Professor Ha-Kyung Kong from Seattle Universi

Mitigating Language-Dependent Ethnic Bias in BERT

Jaimeen Ahn, a student researcher in the Users & Information Lab led by Prof. Alice Oh at the School of Computing, published a

Testing Deep Learning Systems

New technique can guide systematic testing of machine learning components Prof. Shin Yoo's team of KAIST School of Computin