Xiao Li

According to our database, Xiao Li authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

Trans. Mach. Learn. Res., 2024

2022

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

CoRR, 2022

Are All Losses Created Equal: A Neural Collapse Perspective.

Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features.

Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu

Proceedings of the International Conference on Machine Learning, 2022

2021

A Geometric Analysis of Neural Collapse with Unconstrained Features.

Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training.

Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021