| Towards out-of-distribution generalization: A survey Z Shen, J Liu, Y He, X Zhang, R Xu, H Yu, P Cui arXiv preprint arXiv:2108.13624, 2021 | 410 | 2021 |
| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 296 | 2023 |
| Deep stable learning for out-of-distribution generalization X Zhang, P Cui, R Xu, L Zhou, Y He, Z Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 232 | 2021 |
| Spatio-temporal fusion based convolutional sequence learning for lip reading X Zhang, F Cheng, S Wang Proceedings of the IEEE/CVF International conference on Computer Vision, 713-722, 2019 | 86 | 2019 |
| 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 |
| Towards Unsupervised Domain Generalization X Zhang, L Zhou, R Xu, P Cui, Z Shen, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| Towards domain generalization in object detection X Zhang, Z Xu, R Xu, J Liu, P Cui, W Wan, C Sun, C Li arXiv preprint arXiv:2203.14387, 2022 | 21 | 2022 |
| Touchstone: Evaluating vision-language models by language models S Bai, S Yang, J Bai, P Wang, X Zhang, J Lin, X Wang, C Zhou, J Zhou arXiv preprint arXiv:2308.16890, 2023 | 20 | 2023 |
| A theoretical analysis on independence-driven importance weighting for covariate-shift generalization R Xu, X Zhang, Z Shen, T Zhang, P Cui International Conference on Machine Learning, 24803-24829, 2022 | 20 | 2022 |
| Why stable learning works? a theory of covariate shift generalization R Xu, P Cui, Z Shen, X Zhang, T Zhang arXiv preprint arXiv:2111.02355 2, 2021 | 19 | 2021 |
| 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 |
| Speaker-independent lipreading with limited data C Yang, S Wang, X Zhang, Y Zhu 2020 IEEE International Conference on Image Processing (ICIP), 2181-2185, 2020 | 18 | 2020 |
| Learning vector quantized shape code for amodal blastomere instance segmentation WD Jang, D Wei, X Zhang, B Leahy, H Yang, J Tompkin, D Ben-Yosef, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 13 | 2023 |
| Regulatory instruments for fair personalized pricing R Xu, X Zhang, P Cui, B Li, Z Shen, J Xu Proceedings of the ACM Web Conference 2022, 4-15, 2022 | 12 | 2022 |
| 3d convolutional neural networks based speaker identification and authentication J Liao, S Wang, X Zhang, G Liu 2018 25th IEEE International Conference on Image Processing (ICIP), 2042-2046, 2018 | 11 | 2018 |
| Adversarial eigen attack on black-box models L Zhou, P Cui, X Zhang, Y Jiang, S Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 10 | 2022 |
| 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 |
| Stable Learning via Sparse Variable Independence H Yu, P Cui, Y He, Z Shen, Y Lin, R Xu, X Zhang 37th AAAI Conference on Artificial Intelligence (AAAI), 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 |
| Towards out-of-distribution generalization: A survey (2021) Z Shen, J Liu, Y He, X Zhang, R Xu, H Yu, P Cui arXiv preprint arXiv:2108.13624, 0 | 6 | |
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
