Следене
Pan Zhou
Pan Zhou
Assistant Professor at SMU
Потвърден имейл адрес: smu.edu.sg - Начална страница
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Позовавания
Позовавания
Година
Prototypical contrastive learning of unsupervised representations
J Li, P Zhou, C Xiong, SCH Hoi
International Conference on Learning Representations (ICLR 2021), 2020
9232020
Metaformer is actually what you need for vision
W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan
IEEE conference on computer vision and pattern recognition (CVPR 2022, Oral …, 2022
6832022
Inception transformer
C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
487*2022
Tensor factorization for low-rank tensor completion
P Zhou, C Lu, Z Lin, C Zhang
IEEE Transactions on Image Processing (TIP) 27 (3), 1152-1163, 2017
2822017
Towards theoretically understanding why sgd generalizes better than adam in deep learning
P Zhou, J Feng, C Ma, C Xiong, SCH Hoi
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
2462020
Deep adversarial subspace clustering
P Zhou, Y Hou, J Feng
IEEE conference on computer vision and pattern recognition (CVPR 2018), 2018
2012018
Tensor low-rank representation for data recovery and clustering
P Zhou, C Lu, J Feng, Z Lin, S Yan
IEEE transactions on pattern analysis and machine intelligence (TPAMI) 43 (5 …, 2019
1062019
Outlier-Robust Tensor PCA
P Zhou, J Feng
IEEE conference on computer vision and pattern recognition (CVPR 2017), 2017
1062017
Efficient Meta Learning via Minibatch Proximal Update
P Zhou, X Yuan, H Xu, S Yan, J Feng
Advances in Neural Information Processing Systems (NeurIPS 2019, Spotlight), 2019
992019
Integrated low-rank-based discriminative feature learning for recognition
P Zhou, Z Lin, C Zhang
IEEE transactions on neural networks and learning systems (TNNLS) 27 (5 …, 2015
792015
Prototypical graph contrastive learning
S Lin, C Liu, P Zhou, ZY Hu, S Wang, R Zhao, Y Zheng, L Lin, E Xing, ...
IEEE transactions on neural networks and learning systems (TNNLS), 2022
782022
Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models
X Xie, P Zhou, H Li, Z Lin, S Yan
arXiv preprint arXiv:2208.06677, 2022
722022
How important is the train-validation split in meta-learning?
Y Bai, M Chen, P Zhou, T Zhao, J Lee, S Kakade, H Wang, C Xiong
International Conference on Machine Learning (ICML 2021), 543-553, 2021
712021
Metaformer baselines for vision
W Yu, C Si, P Zhou, M Luo, Y Zhou, J Feng, S Yan, X Wang
IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023, 2022
632022
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
P Zhou, XT Yuan, J Feng
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
632018
Video graph transformer for video question answering
J Xiao, P Zhou, TS Chua, S Yan
European Conference on Computer Vision (ECCV 2022), 39-58, 2022
622022
Theory-inspired path-regularized differential network architecture search
P Zhou, C Xiong, R Socher, SCH Hoi
Advances in Neural Information Processing Systems (NeurIPS 2020, Oral), 2020
592020
Inceptionnext: When inception meets convnext
W Yu, P Zhou, S Yan, X Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2023
542023
Understanding Generalization and Optimization Performance of Deep CNNs
P Zhou, J Feng
International Conference on Machine Learning (ICML 2018), 2018
532018
Task similarity aware meta learning: Theory-inspired improvement on maml
P Zhou, Y Zou, XT Yuan, J Feng, C Xiong, S Hoi
Uncertainty in Artificial Intelligence (UAI 2021), 23-33, 2021
472021
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