Baijiong Lin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Base Classifiers

Diffusion Models

Multitask Learning

Top Venues

J. Mach. Learn. Res.

Publications

Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR (2024)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Yu Zhang, Ivor W. Tsang
Multi-objective meta-learning. Artif. Intell. 335 (2024)
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. CoRR (2024)
Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR (2023)
Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu
A Scale-Invariant Task Balancing Approach for Multi-Task Learning. CoRR (2023)
Weisen Jiang, Baijiong Lin, Han Shi, Yu Zhang, Zhenguo Li, James T. Kwok
Effective and Parameter-Efficient Reusing Fine-Tuned Models. CoRR (2023)
Baijiong Lin, Yu Zhang
LibMTL: A Python Library for Deep Multi-Task Learning. J. Mach. Learn. Res. 24 (2023)
Baijiong Lin, Yu Zhang
LibMTL: A Python Library for Multi-Task Learning. CoRR (2022)
Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor Tsang
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. Trans. Mach. Learn. Res. 2022 (2022)
Zhixiong Yue, Baijiong Lin, Yu Zhang, Christy Liang
Effective, Efficient and Robust Neural Architecture Search. IJCNN (2022)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
Multi-Objective Meta Learning. NeurIPS (2021)
Baijiong Lin, Feiyang Ye, Yu Zhang
A Closer Look at Loss Weighting in Multi-Task Learning. CoRR (2021)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang
Multi-Objective Meta Learning. CoRR (2021)
Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang
Effective, Efficient and Robust Neural Architecture Search. CoRR (2020)
Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang
Multi-Task Adversarial Attack. CoRR (2020)