Xiangyu Peng
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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
Crafting Better Contrastive Views for Siamese Representation Learning
X Peng, K Wang, Z Zhu, W Mang, Y You
CVPR 2022, 2022
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
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
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
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
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
Lossless Dataset Compression Via Dataset Quantization
Z Daquan, K Wang, J Gu, D Lian, X Peng, Y Zhang, Y You, J Feng
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