Aggregating From Multiple Target-Shifted Sources C Shui, Z Li, J Li, C Gagné, C Ling, B Wang International Conference on Machine Learning, 9638-9648, 2021 | 22 | 2021 |
On learning fairness and accuracy on multiple subgroups C Shui, G Xu, Q Chen, J Li, CX Ling, T Arbel, B Wang, C Gagné Advances in Neural Information Processing Systems 35, 34121-34135, 2022 | 16 | 2022 |
Fair Representation Learning through Implicit Path Alignment C Shui, Q Chen, J Li, B Wang, C Gagné International Conference on Machine Learning, 20156-20175, 2022 | 13 | 2022 |
When source-free domain adaptation meets learning with noisy labels L Yi, G Xu, P Xu, J Li, R Pu, C Ling, AI McLeod, B Wang arXiv preprint arXiv:2301.13381, 2023 | 10 | 2023 |
Hessian Aware Low-Rank Weight Perturbation for Continual Learning J Li, R Wang, Y Lai, C Shui, S Sahoo, CX Ling, S Yang, B Wang, C Gagné, ... arXiv preprint arXiv:2311.15161, 2023 | | 2023 |
Label shift conditioned hybrid querying for deep active learning J Li, H Kong, G Xu, C Shui, R Pu, Z Kang, CX Ling, B Wang Knowledge-Based Systems 274, 110616, 2023 | | 2023 |