| 2025 | ICLR | 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, Sungjoo Suh, Eunho Yang |
| 2023 | CVPR | BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. | Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han |
| 2023 | ICCV | Sample-wise Label Confidence Incorporation for Learning with Noisy Labels. | Chanho Ahn, Kikyung Kim, Ji-Won Baek, Jongin Lim, Seungju Han |
| 2023 | ICCV | Growing a Brain with Sparsity-Inducing Generation for Continual Learning. | Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim |
| 2019 | CVPR | Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. | Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh |
| 2019 | ICCV | Deep Elastic Networks With Model Selection for Multi-Task Learning. | Chanho Ahn, Eunwoo Kim, Songhwai Oh |
| 2018 | CVPR | NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. | Eunwoo Kim, Chanho Ahn, Songhwai Oh |