Changjian Shui
Changjian Shui
Vector Institute
Подтвержден адрес электронной почты в домене vectorinstitute.ai - Главная страница
Deep active learning: Unified and principled method for query and training
C Shui, F Zhou, C Gagné, B Wang
International Conference on Artificial Intelligence and Statistics, 1308-1318, 2020
Domain generalization via optimal transport with metric similarity learning
F Zhou, Z Jiang, C Shui, B Wang, B Chaib-draa
Neurocomputing 456, 469-480, 2021
A principled approach for learning task similarity in multitask learning
C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
IJCAI, 2019, 2019
Common spatial pattern reformulated for regularizations in brain–computer interfaces
B Wang, CM Wong, Z Kang, F Liu, C Shui, F Wan, CLP Chen
IEEE transactions on cybernetics 51 (10), 5008-5020, 2020
Generalization bounds for meta-learning: An information-theoretic analysis
Q Chen, C Shui, M Marchand
Advances in Neural Information Processing Systems 34, 25878-25890, 2021
Aggregating From Multiple Target-Shifted Sources
C Shui, Z Li, J Li, C Gagné, C Ling, B Wang
ICML 2021, 2021
Beyond H-divergence: Domain adaptation theory with jensen-shannon divergence
C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang
arXiv preprint arXiv:2007.15567 6, 2020
On the benefits of representation regularization in invariance based domain generalization
C Shui, B Wang, C Gagné
Machine Learning 111 (3), 895-915, 2022
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
Discriminative active learning for domain adaptation
F Zhou, C Shui, S Yang, B Huang, B Wang, B Chaib-draa
Knowledge-Based Systems 222, 106986, 2021
Task similarity estimation through adversarial multitask neural network
F Zhou, C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné
IEEE Transactions on Neural Networks and Learning Systems 32 (2), 466-480, 2020
Diversity regularization in deep ensembles
C Shui, AS Mozafari, J Marek, I Hedhli, C Gagné
arXiv preprint arXiv:1802.07881, 2018
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
A novel domain adaptation theory with Jensen–Shannon divergence
C Shui, Q Chen, J Wen, F Zhou, C Gagné, B Wang
Knowledge-Based Systems 257, 109808, 2022
Gap minimization for knowledge sharing and transfer
B Wang, JA Mendez, C Shui, F Zhou, D Wu, G Xu, C Gagné, E Eaton
Journal of Machine Learning Research 24 (33), 1-57, 2023
Information gain sampling for active learning in medical image classification
R Mehta, C Shui, B Nichyporuk, T Arbel
International Workshop on Uncertainty for Safe Utilization of Machine …, 2022
Evaluating the fairness of deep learning uncertainty estimates in medical image analysis
R Mehta, C Shui, T Arbel
Medical Imaging with Deep Learning, 1453-1492, 2024
Toward metrics for differentiating out-of-distribution sets
M Abbasi, C Shui, A Rajabi, C Gagne, R Bobba
arXiv preprint arXiv:1910.08650, 2019
Mitigating calibration bias without fixed attribute grouping for improved fairness in medical imaging analysis
C Shui, J Szeto, R Mehta, DL Arnold, T Arbel
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Lifelong online learning from accumulated knowledge
C Shui, W Wang, I Hedhli, CM Wong, F Wan, B Wang, C Gagné
ACM Transactions on Knowledge Discovery from Data 17 (4), 1-23, 2023
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