| 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 | 192 | 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 | 105* | 2021 |
| A principled approach for learning task similarity in multitask learning C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné IJCAI, 2019, 2019 | 71 | 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 | 62 | 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 | 51 | 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 | 39 | 2022 |
| Aggregating From Multiple Target-Shifted Sources C Shui, Z Li, J Li, C Gagné, C Ling, B Wang ICML 2021, 2021 | 38 | 2021 |
| On the benefits of representation regularization in invariance based domain generalization C Shui, B Wang, C Gagné Machine Learning 111 (3), 895-915, 2022 | 30 | 2022 |
| 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 | 30 | 2020 |
| 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 | 29 | 2020 |
| 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 | 24 | 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 | 24 | 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 | 23 | 2021 |
| Diversity regularization in deep ensembles C Shui, AS Mozafari, J Marek, I Hedhli, C Gagné arXiv preprint arXiv:1802.07881, 2018 | 17 | 2018 |
| 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 | 16 | 2024 |
| 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 | 11 | 2022 |
| Towards Progressive Multi-Frequency Representation for Image Warping J Xiao, Z Lyu, C Zhang, Y Ju, C Shui, KM Lam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| 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 | 10 | 2023 |
| On the stability-plasticity dilemma in continual meta-learning: theory and algorithm Q Chen, C Shui, L Han, M Marchand Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Episodic task agnostic contrastive training for multi-task learning F Zhou, Y Chen, J Wen, Q Zeng, C Shui, CX Ling, S Yang, B Wang Neural Networks 162, 34-45, 2023 | 7 | 2023 |