Domain adversarial neural networks for domain generalization: When it works and how to improve A Sicilia, X Zhao, SJ Hwang Machine Learning 112 (7), 2685-2721, 2023 | 49 | 2023 |
Test-time Fourier Style Calibration for Domain Generalization X Zhao, C Liu, A Sicilia, SJ Hwang, Y Fu The 31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022 | 18 | 2022 |
Robust White Matter Hyperintensity Segmentation on Unseen Domain X Zhao, A Sicilia, D Minhas, E O'Connor, H Aizenstein, W Klunk, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 | 11 | 2021 |
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning A Sicilia, X Zhao, D Minhas, E O'Connor, H Aizenstein, W Klunk, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 | 6 | 2021 |
A close look at spatial modeling: From attention to convolution X Ma, H Wang, C Qin, K Li, X Zhao, J Fu, Y Fu arXiv preprint arXiv:2212.12552, 2022 | 5 | 2022 |
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement X Zhao, NC Mithun, A Rajvanshi, HP Chiu, S Samarasekera WACV 2024, 2023 | 3 | 2023 |
PAC bayesian performance guarantees for deep (stochastic) networks in medical imaging A Sicilia, X Zhao, A Sosnovskikh, SJ Hwang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 3 | 2021 |
Improve the Performance of CT-Based Pneumonia Classification via Source Data Reweighting P Xie, X Zhao, X He Scientific Reports. Nature Portfolio, 2023 | 2 | 2023 |
Learning by Ignoring, with Application to Domain Adaptation X Zhao, X He, P Xie arXiv preprint arXiv:2012.14288, 2020 | 1 | 2020 |
Transfer Learning Based on Multi-level Optimization P Xie, X Zhao, X He Transactions of the Association for Computational Linguistics (TACL), 2023 | | 2023 |