| Towards out-of-distribution generalization: A survey J Liu, Z Shen, Y He, X Zhang, R Xu, H Yu, P Cui arXiv preprint arXiv:2108.13624, 2021 | 418 | 2021 |
| Nico++: Towards better benchmarking for domain generalization X Zhang, Y He, R Xu, H Yu, Z Shen, P Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 53 | 2023 |
| Gradient norm aware minimization seeks first-order flatness and improves generalization X Zhang, R Xu, H Yu, H Zou, P Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Stable learning via sparse variable independence H Yu, P Cui, Y He, Z Shen, Y Lin, R Xu, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10998 …, 2023 | 9* | 2023 |
| Flatness-Aware Minimization for Domain Generalization X Zhang, R Xu, H Yu, Y Dong, P Tian, P Cu International Conference on Computer Vision (ICCV), 2023, 2023 | 7 | 2023 |
| Nico challenge: Out-of-distribution generalization for image recognition challenges X Zhang, Y He, T Wang, J Qi, H Yu, Z Wang, J Peng, R Xu, Z Shen, Y Niu, ... European Conference on Computer Vision, 433-450, 2022 | 6 | 2022 |
| Rethinking the Evaluation Protocol of Domain Generalization H Yu, X Zhang, R Xu, J Liu, Y He, P Cui Computer Vision and Pattern Recognition Conference (CVPR), 2024, 2024 | 1 | 2024 |
| Meta Adaptive Task Sampling for Few-Domain Generalization Z Shen, H Yu, P Cui, J Liu, X Zhang, L Zhou, F Liu arXiv preprint arXiv:2305.15644, 2023 | 1 | 2023 |
| A Survey on Evaluation of Out-of-Distribution Generalization H Yu, J Liu, X Zhang, J Wu, P Cui arXiv preprint arXiv:2403.01874, 2024 | | 2024 |
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
