| 2025 | ICLR | Uncertainty Herding: One Active Learning Method for All Label Budgets. | Wonho Bae, Danica J. Sutherland, Gabriel L. Oliveira |
| 2024 | ECCV | Generalized Coverage for More Robust Low-Budget Active Learning. | Wonho Bae, Junhyug Noh, Danica J. Sutherland |
| 2024 | ECCV | Exploring Active Learning in Meta-learning: Enhancing Context Set Labeling. | Wonho Bae, Jing Wang, Danica J. Sutherland |
| 2023 | ICLR | Meta Temporal Point Processes. | Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira |
| 2023 | ICLR | How to prepare your task head for finetuning. | Yi Ren, Shangmin Guo, Wonho Bae, Danica J. Sutherland |
| 2023 | ICML | A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel. | Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland |
| 2022 | ECCV | Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. | Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim |
| 2022 | IJCAI | One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. | Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland |
| 2020 | ECCV | Rethinking Class Activation Mapping for Weakly Supervised Object Localization. | Wonho Bae, Junhyug Noh, Gunhee Kim |
| 2019 | ICCV | Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection. | Junhyug Noh, Wonho Bae, Wonhee Lee, Jinhwan Seo, Gunhee Kim |