Meta-learning Amidst Heterogeneity and Ambiguity. - Kyeongryeol Go; Seyoung Yun (CoRR, 2021)

Neural Processes with Stochastic Attention: Paying more attention to the context dataset. - Mingyu Kim 002; Kyeongryeol Go; Se-Young Yun (ICLR, 2022)

Meta-Learning Amidst Heterogeneity and Ambiguity. - Kyeongryeol Go; Mingyu Kim 002; Seyoung Yun (IEEE Access, 2023)

Transferable Candidate Proposal with Bounded Uncertainty. - Kyeongryeol Go; Kye-Hyeon Kim (CoRR, 2023)

ZERO: Industry-ready Vision Foundation Model with Multi-modal Prompts. - Sangbum Choi; Kyeongryeol Go; Taewoong Jang (CoRR, 2025)

Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective. - Seunghyeon Kim; Kyeongryeol Go (CoRR, 2025)