| CAFE: Learning to Condense Dataset by Aligning Features K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ... CVPR 2022, 2022 | 161 | 2022 |
| Crafting Better Contrastive Views for Siamese Representation Learning X Peng, K Wang, Z Zhu, W Mang, Y You CVPR 2022, 2022 | 97 | 2022 |
| Dataset quantization D Zhou, K Wang, J Gu, X Peng, D Lian, Y Zhang, Y You, J Feng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 25 | 2023 |
| Divide to adapt: Mitigating confirmation bias for domain adaptation of black-box predictors J Yang, X Peng, K Wang, Z Zhu, J Feng, L Xie, Y You arXiv preprint arXiv:2205.14467, 2022 | 24 | 2022 |
| Infobatch: Lossless training speed up by unbiased dynamic data pruning Z Qin, K Wang, Z Zheng, J Gu, X Peng, Z Xu, D Zhou, L Shang, B Sun, ... arXiv preprint arXiv:2303.04947, 2023 | 19 | 2023 |
| Facemae: Privacy-preserving face recognition via masked autoencoders K Wang, B Zhao, X Peng, Z Zhu, J Deng, X Wang, H Bilen, Y You arXiv preprint arXiv:2205.11090, 2022 | 11 | 2022 |
| Reliable label correction is a good booster when learning with extremely noisy labels K Wang, X Peng, S Yang, J Yang, Z Zhu, X Wang, Y You arXiv preprint arXiv:2205.00186, 2022 | 9 | 2022 |
| Lossless Dataset Compression Via Dataset Quantization Z Daquan, K Wang, J Gu, D Lian, X Peng, Y Zhang, Y You, J Feng | 1 | 2022 |
