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 | 453 | 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 | 60 | 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 | 26 | 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 | 11* | 2023 |
Flatness-Aware Minimization for Domain Generalization X Zhang, R Xu, H Yu, Y Dong, P Tian, P Cui International Conference on Computer Vision (ICCV), 2023, 2023 | 10 | 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 | 5 | 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 | 2 | 2024 |
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 | 2 | 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 |