| Disentangling label distribution for long-tailed visual recognition Y Hong, S Han, K Choi, S Seo, B Kim, B Chang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 217 | 2021 |
| The majority can help the minority: Context-rich minority oversampling for long-tailed classification S Park, Y Hong, B Heo, S Yun, JY Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 108 | 2022 |
| Unbiased classification through bias-contrastive and bias-balanced learning Y Hong, E Yang Advances in Neural Information Processing Systems 34, 26449-26461, 2021 | 55 | 2021 |
| Self-diagnosing gan: Diagnosing underrepresented samples in generative adversarial networks J Lee, H Kim, Y Hong, HW Chung Advances in Neural Information Processing Systems 34, 1925-1938, 2021 | 20 | 2021 |
| Appendix for “Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks” J Lee, H Kim, Y Hong, HW Chung | | |
