Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning B Lin, F Ye, Y Zhang, I Tsang Transactions on Machine Learning Research (TMLR), 2022 | 88* | 2022 |
Multi-Objective Meta Learning F Ye*, B Lin*, Z Yue, P Guo, Q Xiao, Y Zhang Neural Information Processing Systems (NeurIPS), 2021 | 38 | 2021 |
LibMTL: A Python Library for Multi-Task Learning B Lin, Y Zhang Journal of Machine Learning Research (JMLR) 24 (209), 1-7, 2023 | 22* | 2023 |
Effective, Efficient and Robust Neural Architecture Search Z Yue, B Lin, Y Zhang, C Liang International Joint Conference on Neural Networks (IJCNN), 2022 | 21 | 2022 |
Binary Neutron Stars Gravitational Wave Detection Based on Wavelet Packet Analysis and Convolutional Neural Networks B Lin, X Li, W Yu Frontiers of Physics 15 (2), 1-7, 2020 | 13 | 2020 |
Dual-Balancing for Multi-Task Learning B Lin, W Jiang, F Ye, Y Zhang, P Chen, YC Chen, S Liu, J Kwok arXiv preprint arXiv:2308.12029, 2023 | 1 | 2023 |
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization F Ye, B Lin, X Cao, Y Zhang, I Tsang arXiv preprint arXiv:2401.09257, 2024 | | 2024 |
Effective and Parameter-Efficient Reusing Fine-Tuned Models W Jiang*, B Lin*, H Shi, Y Zhang, Z Li, J Kwok arXiv preprint arXiv:2310.01886, 2023 | | 2023 |
Efficient Transfer Learning in Diffusion Models via Adversarial Noise X Wang, B Lin, D Liu, C Xu arXiv preprint arXiv:2308.11948, 2023 | | 2023 |