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Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information


Nov 21, 2022
Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai

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When does SGD favor flat minima? A quantitative characterization via linear stability


Jul 06, 2022
Lei Wu, Mingze Wang, Weijie Su

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Deformable DETR: Deformable Transformers for End-to-End Object Detection


Oct 08, 2020
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai

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Benign Overfitting and Noisy Features


Aug 06, 2020
Zhu Li, Weijie Su, Dino Sejdinovic

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Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic


Oct 24, 2019
Matteo Sordello, Weijie Su

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VL-BERT: Pre-training of Generic Visual-Linguistic Representations


Aug 22, 2019
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai

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* Work in progress 

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Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing


Jul 17, 2019
Zhiqi Bu, Jason Klusowski, Cynthia Rush, Weijie Su

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Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks


Jun 11, 2019
Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu

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Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients


Dec 20, 2017
Tengyuan Liang, Weijie Su

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* 30 pages, 4 figures 

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