Xu Luo

According to our database, Xu Luo authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model.

Cheng Chen, Junchen Zhu, Xu Luo, Hengtao Shen, Lianli Gao, Jingkuan Song

CoRR, 2024

2023

Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks.

Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song

CoRR, 2023

A Closer Look at Few-shot Classification Again.

Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song

Proceedings of the International Conference on Machine Learning, 2023

DETA: Denoised Task Adaptation for Few-Shot Learning.

Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid.

Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu

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

Channel Importance Matters in Few-Shot Image Classification.

Xu Luo, Jing Xu, Zenglin Xu

Proceedings of the International Conference on Machine Learning, 2022

2021

Exploring Category-correlated Feature for Few-shot Image Classification.

Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu

CoRR, 2021

Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition.

Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

CoRR, 2021

Rectifying the Shortcut Learning of Background for Few-Shot Learning.

Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian

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

Boosting Few-Shot Classification with View-Learnable Contrastive Learning.

Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Concatenated Tensor Networks for Deep Multi-Task Learning.

Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu

Proceedings of the Neural Information Processing - 27th International Conference, 2020