| 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 | 55 | 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 | 48 | 2022 |
| Proxedit: Improving tuning-free real image editing with proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 38 | 2024 |
| 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 | 32 | 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 | 28 | 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 | 27 | 2022 |
| Improving negative-prompt inversion via proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, Y Chen, D Liu, ... arXiv preprint arXiv:2306.05414 3, 2023 | 22 | 2023 |
| Algorithm-dependent bounds for representation learning of multi-source domain adaptation Q Chen, M Marchand International Conference on Artificial Intelligence and Statistics, 10368-10394, 2023 | 15 | 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, 27414-27468, 2023 | 9 | 2023 |
| Intersectional unfairness discovery G Xu, Q Chen, C Ling, B Wang, C Shui arXiv preprint arXiv:2405.20790, 2024 | 2 | 2024 |
| Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis C Qi, Z Jierui, S Florian The Thirteenth International Conference on Learning Representations, 2025 | | 2025 |
| Towards Understanding Evolving Patterns in Sequential Data Q Zeng, LK Huang, Q Chen, CX Ling, B Wang Advances in Neural Information Processing Systems 37, 132747-132773, 2024 | | 2024 |
| Theoretical Framework for Prior Knowledge Transfer in Deep Learning Q Chen Université Laval, 2024 | | 2024 |
| ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance (Supplementary Materials) L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... | | |
| On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm C Qi, C Shui, L Han, M Marchand Thirty-seventh Conference on Neural Information Processing Systems, 0 | | |
Changjian ShuiUniversity of OttawaПодтвержден адрес электронной почты в домене uottawa.ca
