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Haoran Tang
Haoran Tang
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Title
Cited by
Cited by
Year
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study
Y Zhong, H Tang, JK Chen, YX Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
23*2023
Is self-supervised contrastive learning more robust than supervised learning?
Y Zhong, H Tang, J Chen, J Peng, YX Wang
62022
Retrieving Conditions from Reference Images for Diffusion Models
H Tang, X Zhou, J Deng, Z Pan, H Tian, P Chaudhari
arXiv preprint arXiv:2312.02521, 2023
12023
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
C Xu, J Yang, H Tang, H Zou, C Lu, T Zhang
arXiv preprint arXiv:2201.11963, 2022
12022
HashEncoding: Autoencoding with Multiscale Coordinate Hashing
L Zhornyak, Z Xu, H Tang, J Shi
arXiv preprint arXiv:2211.15894, 2022
2022
Supplementary Material Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study
Y Zhong, H Tang, JK Chen, YX Wang
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Articles 1–6