Learning Nested Sparse Structures in Deep Neural Networks. - Eunwoo Kim; Chanho Ahn; Songhwai Oh (CoRR, 2017)

NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. - Eunwoo Kim; Chanho Ahn; Songhwai Oh (CVPR, 2018)

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. - Eunwoo Kim; Chanho Ahn; Philip H. S. Torr; Songhwai Oh (CVPR, 2019)

Deep Elastic Networks With Model Selection for Multi-Task Learning. - Chanho Ahn; Eunwoo Kim; Songhwai Oh (ICCV, 2019)

Graph-matching-based correspondence search for nonrigid point cloud registration. - Seunggyu Chang; Chanho Ahn; Minsik Lee 001; Songhwai Oh (Comput. Vis. Image Underst., 2020)

Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning. - Eunwoo Kim; Chanho Ahn; Songhwai Oh (Neurocomputing, 2021)

Incremental Learning With Adaptive Model Search and a Nominal Loss Model. - Chanho Ahn; Eunwoo Kim; Songhwai Oh (IEEE Access, 2022)

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. - Jongin Lim 002; Youngdong Kim; Byungjai Kim; Chanho Ahn; Jinwoo Shin; Eunho Yang; Seungju Han 001 (CVPR, 2023)

Sample-wise Label Confidence Incorporation for Learning with Noisy Labels. - Chanho Ahn; Kikyung Kim; Ji-Won Baek; Jongin Lim 002; Seungju Han 001 (ICCV, 2023)

Growing a Brain with Sparsity-Inducing Generation for Continual Learning. - Hyundong Jin; Gyeong-Hyeon Kim; Chanho Ahn; Eunwoo Kim (ICCV, 2023)

Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation. - Byungjai Kim; Chanho Ahn; Wissam J. Baddar; Kikyung Kim; Huijin Lee; Saehyun Ahn; Seungju Han 001; Sungjoo Suh; Eunho Yang (ICLR, 2025)