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Ximei Wang

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On the Embedding Collapse when Scaling up Recommendation Models

Oct 06, 2023
Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

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Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Sep 19, 2023
Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

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STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

Aug 16, 2023
Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

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CLIPood: Generalizing CLIP to Out-of-Distributions

Feb 02, 2023
Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

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ForkMerge: Overcoming Negative Transfer in Multi-Task Learning

Jan 30, 2023
Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Liu Dapeng, Jie Jiang, Mingsheng Long

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AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning

Nov 28, 2022
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

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Debiased Pseudo Labeling in Self-Training

Feb 18, 2022
Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long

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X-model: Improving Data Efficiency in Deep Learning with A Minimax Model

Oct 09, 2021
Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long

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Regressive Domain Adaptation for Unsupervised Keypoint Detection

Mar 10, 2021
Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long

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