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Han-Jia Ye
Han-Jia Ye
Подтвержден адрес электронной почты в домене lamda.nju.edu.cn - Главная страница
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Процитировано
Процитировано
Год
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
976*2020
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
3172022
Class-incremental learning: A survey
DW Zhou, QW Wang, ZH Qi, HJ Ye, DC Zhan, Z Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
270*2024
Learning placeholders for open-set recognition
DW Zhou, HJ Ye, DC Zhan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2692021
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
2472022
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
1822022
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 45 (11 …, 2022
1292022
Identifying and compensating for feature deviation in imbalanced deep learning
HJ Ye, HY Chen, DC Zhan, WL Chao
arXiv preprint arXiv:2001.01385, 2020
1082020
The capacity and robustness trade-off: Revisiting the channel independent strategy for multivariate time series forecasting
L Han, HJ Ye, DC Zhan
IEEE Transactions on Knowledge and Data Engineering, 2024
922024
Pycil: A python toolbox for class-incremental learning
DW Zhou, FY Wang, HJ Ye, DC Zhan
Science China Information Sciences 66 (9), 197101, 2023
842023
Learning adaptive classifiers synthesis for generalized few-shot learning
HJ Ye, H Hu, DC Zhan
International Journal of Computer Vision 129 (6), 1930-1953, 2021
842021
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
812021
Gen-l-video: Multi-text to long video generation via temporal co-denoising
FY Wang, W Chen, G Song, HJ Ye, Y Liu, H Li
arXiv preprint arXiv:2305.18264, 2023
742023
Co-transport for class-incremental learning
DW Zhou, HJ Ye, DC Zhan
Proceedings of the 29th ACM International Conference on Multimedia, 1645-1654, 2021
712021
Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion
FY Wang, DW Zhou, L Liu, HJ Ye, Y Bian, DC Zhan, P Zhao
The eleventh international conference on learning representations, 2022
632022
Few-shot learning with a strong teacher
HJ Ye, L Ming, DC Zhan, WL Chao
IEEE transactions on pattern analysis and machine intelligence 46 (3), 1425-1440, 2022
632022
How to train your MAML to excel in few-shot classification
HJ Ye, WL Chao
arXiv preprint arXiv:2106.16245, 2021
592021
Continual learning with pre-trained models: A survey
DW Zhou, HL Sun, J Ning, HJ Ye, DC Zhan
arXiv preprint arXiv:2401.16386, 2024
532024
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
522016
Few-shot class-incremental learning via training-free prototype calibration
QW Wang, DW Zhou, YK Zhang, DC Zhan, HJ Ye
Advances in Neural Information Processing Systems 36, 2024
492024
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