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Filtering by: Creator Tuan, Le Anh Remove constraint Creator: Tuan, Le Anh Contributor Raich, Raviv Remove constraint Contributor: Raich, Raviv

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  • Weak-supervision : Probabilistic Models and Inference

    Creator:
    Pham, Anh
    Abstract:
    In supervised learning, label information can be provided at different levels of granularity. For small datasets, it is possible to acquire a label for each data instance. However, in the big-data regime, this fine granularity approach is prohibitively costly. For example, in semi-supervised learning, only a limited number of samples...
    Resource Type:
    Dissertation
    Full Text:
    , chi Van Anh, anh Trung, Trang, Dieu Anh, Trang Tran, Tuan, chi Truc, chi Linh, Thai, anh Duong, Huong

  • Leveraging Structures of the Data in Deep Learning

    Creator:
    Li, Xingyi
    Abstract:
    The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
    Resource Type:
    Dissertation
    Full Text:
    Pei, Zeyu You, Anh The Pham, Zeyu You, Thi Tam Nguyen, Thi Kim Phung Lai, Zhongang Qi, Jialin Yuan