Suivre
Ximei Wang
Ximei Wang
Autres noms王 希梅
Tencent; Tsinghua University
Adresse e-mail validée de mails.tsinghua.edu.cn - Page d'accueil
Titre
Citée par
Citée par
Année
Transferable attention for domain adaptation
X Wang, L Li, W Ye, M Long, J Wang
AAAI Conference on Artificial Intelligence (AAAI), 2019
3142019
Minimum Class Confusion for Versatile Domain Adaptation
Y Jin, X Wang, M Long, J Wang
European Conference on Computer Vision (ECCV), 2020
3042020
Transferable normalization: Towards improving transferability of deep neural networks
X Wang, Y Jin, M Long, J Wang, MI Jordan
Advances in Neural Information Processing Systems (NeurIPS), 1953-1963, 2019
2002019
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
K You, X Wang, M Long, M Jordan
International Conference on Machine Learning (ICML), 7124-7133, 2019
1382019
Debiased Self-Training for Semi-Supervised Learning
B Chen, J Jiang, X Wang, P Wan, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2022
64*2022
Self-Tuning for Data-Efficient Deep Learning
X Wang, J Gao, J Wang, M Long
International Conference on Machine Learning (ICML), 2021
582021
Regressive domain adaptation for unsupervised keypoint detection
J Jiang, Y Ji, X Wang, Y Liu, J Wang, M Long
Computer Vision and Pattern Recognition (CVPR), 6780-6789, 2021
572021
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
X Wang, M Long, J Wang, MI Jordan
Advances in Neural Information Processing Systems (NeurIPS), 2020
482020
Resource efficient domain adaptation
J Jiang, X Wang, M Long, J Wang
Proceedings of the 28th ACM International Conference on Multimedia (ACMMM …, 2020
262020
CLIPood: Generalizing CLIP to Out-of-Distributions
Y Shu, X Guo, J Wu, X Wang, J Wang, M Long
International Conference on Machine Learning (ICML), 2023
232023
Bi-Tuning: Efficient Transfer from Pre-Trained Models
J Zhong, H Ma, X Wang, Z Kou, M Long
European Conference on Machine Learning (ECML), 2023
22*2023
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
E Yang, J Pan, X Wang, H Yu, L Shen, X Chen, L Xiao, J Jiang, G Guo
AAAI Conference on Artificial Intelligence (AAAI), 2022
172022
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning
J Jiang, B Chen, J Pan, X Wang, L Dapeng, J Jiang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2023
82023
On the Embedding Collapse when Scaling up Recommendation Models
X Guo, J Pan, X Wang, B Chen, J Jiang, M Long
arXiv preprint arXiv:2310.04400, 2023
32023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
L Su, J Pan, X Wang, X Xiao, S Quan, X Chen, J Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9002-9010, 2024
22024
Ad Recommendation in a Collapsed and Entangled World
J Pan, W Xue, X Wang, H Yu, X Liu, S Quan, X Qiu, D Liu, L Xiao, J Jiang
arXiv preprint arXiv:2403.00793, 2024
12024
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
X Wang, X Chen, J Wang, M Long
International Conference on Learning Representations (ICLR), 2021
12021
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
X Wang, J Pan, X Guo, D Liu, J Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15644 …, 2024
2024
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