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Han-Jia Ye
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Cited by
Year
Few-shot learning via embedding adaptation with set-to-set functions
HJ Ye, H Hu, DC Zhan, F Sha
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
756*2020
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1782021
Forward compatible few-shot class-incremental learning
DW Zhou, FY Wang, HJ Ye, L Ma, S Pu, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1272022
Foster: Feature boosting and compression for class-incremental learning
FY Wang, DW Zhou, HJ Ye, DC Zhan
European conference on computer vision, 398-414, 2022
1022022
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
802020
Deep class-incremental learning: A survey
DW Zhou, QW Wang, ZH Qi, HJ Ye, DC Zhan, Z Liu
arXiv preprint arXiv:2302.03648, 2023
692023
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129, 1930-1953, 2021
67*2021
Decaug: Out-of-distribution generalization via decomposed feature representation and semantic augmentation
H Bai, R Sun, L Hong, F Zhou, N Ye, HJ Ye, SHG Chan, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6705-6713, 2021
562021
Few-shot class-incremental learning by sampling multi-phase tasks
DW Zhou, HJ Ye, L Ma, D Xie, S Pu, DC Zhan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
502022
What makes objects similar: A unified multi-metric learning approach
HJ Ye, DC Zhan, XM Si, Y Jiang, ZH Zhou
Advances in neural information processing systems 29, 2016
442016
A model or 603 exemplars: Towards memory-efficient class-incremental learning
DW Zhou, QW Wang, HJ Ye, DC Zhan
arXiv preprint arXiv:2205.13218, 2022
432022
Fast generalization rates for distance metric learning: Improved theoretical analysis for smooth strongly convex distance metric learning
HJ Ye, DC Zhan, Y Jiang
Machine Learning 108, 267-295, 2019
422019
Co-transport for class-incremental learning
DW Zhou, HJ Ye, DC Zhan
Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021
412021
Few-shot learning with a strong teacher
HJ Ye, L Ming, DC Zhan, WL Chao
IEEE transactions on pattern analysis and machine intelligence, 2022
392022
Distilling cross-task knowledge via relationship matching
HJ Ye, S Lu, DC Zhan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
372020
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach
HJ Ye, XR Sheng, DC Zhan
Machine Learning 109, 643-664, 2020
362020
Pycil: A python toolbox for class-incremental learning
DW Zhou, FY Wang, HJ Ye, DC Zhan
Science China Information Sciences 66 (9), 1-2, 2023
332023
How to train your MAML to excel in few-shot classification
HJ Ye, WL Chao
arXiv preprint arXiv:2106.16245, 2021
332021
Multi-instance learning with emerging novel class
XS Wei, HJ Ye, X Mu, J Wu, C Shen, ZH Zhou
IEEE Transactions on Knowledge and Data Engineering 33 (5), 2109-2120, 2019
322019
Rank consistency based multi-view learning: A privacy-preserving approach
HJ Ye, DC Zhan, Y Miao, Y Jiang, ZH Zhou
Proceedings of the 24th ACM international on conference on information and …, 2015
322015
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