Seguir
Ximei Wang
Ximei Wang
Otros nombres王 希梅
Tencent; Tsinghua University
Dirección de correo verificada de mails.tsinghua.edu.cn - Página principal
Título
Citado por
Citado por
Año
Transferable attention for domain adaptation
X Wang, L Li, W Ye, M Long, J Wang
AAAI Conference on Artificial Intelligence (AAAI), 2019
3172019
Minimum Class Confusion for Versatile Domain Adaptation
Y Jin, X Wang, M Long, J Wang
European Conference on Computer Vision (ECCV), 2020
3092020
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
2042019
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
1402019
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
66*2022
Self-Tuning for Data-Efficient Deep Learning
X Wang, J Gao, J Wang, M Long
International Conference on Machine Learning (ICML), 2021
592021
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
592021
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
492020
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
252023
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
192022
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
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
32024
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
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–18