M2m: Imbalanced Classification via Major-to-minor Translation J Kim*, J Jeong*, J Shin IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 146 | 2020 |
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin Advances in Neural Information Processing Systems (NeurIPS), 2020 | 100 | 2020 |
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation J Nam, J Kim, J Lee, J Shin International Conference on Learning Representations (ICLR), 2022 | 21 | 2022 |
Patch-Level Representation Learning for Self-Supervised Vision Transformers S Yun, H Lee, J Kim, J Shin IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 16 | 2022 |
Simplified Stochastic Feedforward Neural Networks K Lee, J Kim, S Chong, J Shin arXiv preprint arXiv:1704.03188, 2017 | 4 | 2017 |
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information R Wan, J Kim, D Kang AAAI Conference on Artificial Intelligence (AAAI), 2023 | 3 | 2023 |
Time Is MattEr: Temporal Self-supervision for Video Transformers S Yun, J Kim, D Han, H Song, JW Ha, J Shin International Conference on Machine Learning (ICML), 2022 | 3 | 2022 |
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different J Kim, D Kang, S Ahn, J Shin International Conference on Learning Representations (ICLR), 2022 | 3 | 2022 |