Παρακολούθηση
Chong You
Chong You
Google
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Παρατίθεται από
Παρατίθεται από
Έτος
Scalable sparse subspace clustering by orthogonal matching pursuit
C You, D Robinson, R Vidal
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4522016
Oracle based active set algorithm for scalable elastic net subspace clustering
C You, CG Li, DP Robinson, R Vidal
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3122016
Rethinking bias-variance trade-off for generalization of neural networks
Z Yang, Y Yu, C You, J Steinhardt, Y Ma
International Conference on Machine Learning, 10767-10777, 2020
2422020
Structured sparse subspace clustering: A joint affinity learning and subspace clustering framework
CG Li, C You, R Vidal
IEEE Transactions on Image Processing 26 (6), 2988-3001, 2017
2422017
Learning diverse and discriminative representations via the principle of maximal coding rate reduction
Y Yu, KHR Chan, C You, C Song, Y Ma
Advances in neural information processing systems 33, 9422-9434, 2020
2202020
A geometric analysis of neural collapse with unconstrained features
Z Zhu, T Ding, J Zhou, X Li, C You, J Sulam, Q Qu
Advances in Neural Information Processing Systems 34, 29820-29834, 2021
2032021
Self-supervised convolutional subspace clustering network
J Zhang, CG Li, C You, X Qi, H Zhang, J Guo, Z Lin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1902019
ReduNet: A white-box deep network from the principle of maximizing rate reduction
KHR Chan, Y Yu, C You, H Qi, J Wright, Y Ma
Journal of machine learning research 23 (114), 1-103, 2022
155*2022
Provable self-representation based outlier detection in a union of subspaces
C You, DP Robinson, R Vidal
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1422017
Robust training under label noise by over-parameterization
S Liu, Z Zhu, Q Qu, C You
International Conference on Machine Learning, 14153-14172, 2022
1322022
On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features
J Zhou, X Li, T Ding, C You, Q Qu, Z Zhu
International Conference on Machine Learning, 27179-27202, 2022
1062022
The lazy neuron phenomenon: On emergence of activation sparsity in transformers
Z Li, C You, S Bhojanapalli, D Li, AS Rawat, SJ Reddi, K Ye, F Chern, ...
International Conference on Learning Representations, 2022
105*2022
Scalable exemplar-based subspace clustering on class-imbalanced data
C You, C Li, DP Robinson, R Vidal
Proceedings of the European Conference on Computer Vision (ECCV), 67-83, 2018
1002018
Stochastic sparse subspace clustering
Y Chen, CG Li, C You
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
832020
Learning a self-expressive network for subspace clustering
S Zhang, C You, R Vidal, CG Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
722021
Deep isometric learning for visual recognition
H Qi, C You, X Wang, Y Ma, J Malik
International conference on machine learning, 7824-7835, 2020
622020
Geometric Conditions for Subspace-Sparse Recovery
C You, R Vidal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015
612015
Are all losses created equal: A neural collapse perspective
J Zhou, C You, X Li, K Liu, S Liu, Q Qu, Z Zhu
Advances in Neural Information Processing Systems 35, 31697-31710, 2022
582022
On geometric analysis of affine sparse subspace clustering
CG Li, C You, R Vidal
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1520-1533, 2018
412018
A critique of self-expressive deep subspace clustering
BD Haeffele, C You, R Vidal
International Conference on Learning Representations, 2020
392020
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