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TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis


Oct 05, 2022
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long

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Requirements Engineering for Machine Learning: A Review and Reflection


Oct 03, 2022
Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang

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Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models


Jun 08, 2022
Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long

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Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting


May 31, 2022
Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long

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MetaSets: Meta-Learning on Point Sets for Generalizable Representations


Apr 15, 2022
Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long

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* 13 pages, CVPR 2021 

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From Big to Small: Adaptive Learning to Partial-Set Domains


Mar 14, 2022
Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long

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* accepted to TPAMI in 2022 

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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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Flowformer: Linearizing Transformers with Conservation Flows


Feb 13, 2022
Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long

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Supported Policy Optimization for Offline Reinforcement Learning


Feb 13, 2022
Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long

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