Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification. - Heng Hao; Sima Didari; Jae Oh Woo; Hankyu Moon; Patrick Bangert (CoRR, 2021)

PatchNet: Unsupervised Object Discovery based on Patch Embedding. - Hankyu Moon; Heng Hao; Sima Didari; Jae Oh Woo; Patrick Bangert (CoRR, 2021)

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation. - Ayaan Haque; Hankyu Moon; Heng Hao; Sima Didari; Jae Oh Woo; Patrick Bangert (CoRR, 2022)

Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract). - Ayaan Haque; Hankyu Moon; Heng Hao; Sima Didari; Jae Oh Woo; Patrick Bangert (AAAI, 2023)

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation. - JoonHo Lee; Jae Oh Woo; Juree Seok; Parisa Hassanzadeh; Wooseok Jang; JuYoun Son; Sima Didari; Baruch Gutow; Heng Hao; Hankyu Moon; Wenjun Hu; Yeong-Dae Kwon; et al. (ICML, 2024)

Bayesian Active Learning for Semantic Segmentation. - Sima Didari; Wenjun Hu; Jae Oh Woo; Heng Hao; Hankyu Moon; Seungjai Min (CoRR, 2024)