フォロー
Xiao Li (李虓)
Xiao Li (李虓)
Ph.D. candidate at University of Michigan
確認したメール アドレス: umich.edu - ホームページ
タイトル
引用先
引用先
年
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
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
Investigating the catastrophic forgetting in multimodal large language models
Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma
arXiv preprint arXiv:2309.10313, 2023
972023
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
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
X Li*, S Liu*, J Zhou, X Lu, C Fernandez-Granda, Z Zhu, Q Qu
arXiv preprint arXiv:2212.12206, 2022
302022
Convolutional normalization: Improving deep convolutional network robustness and training
S Liu*, X Li*, Y Zhai, C You, Z Zhu, C Fernandez-Granda, Q Qu
Advances in Neural Information Processing Systems 34, 28919-28928, 2021
282021
Deep-SMOLM: deep learning resolves the 3D orientations and 2D positions of overlapping single molecules with optimal nanoscale resolution
T Wu, P Lu, MA Rahman, X Li, MD Lew
Optics Express 30 (20), 36761-36773, 2022
142022
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
P Wang*, X Li*, C Yaras, Z Zhu, L Balzano, W Hu, Q Qu
arXiv preprint arXiv:2311.02960, 2023
122023
Neural collapse in multi-label learning with pick-all-label loss
P Li*, X Li*, Y Wang, Q Qu
arXiv preprint arXiv:2310.15903, 2023
52023
Dynamic Low-rank Estimation for Transformer-based Language Models
T Hua*, X Li*, S Gao, YC Hsu, Y Shen, H Jin
Findings of the Association for Computational Linguistics: EMNLP 2023, 9275-9287, 2023
22023
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