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    • Differentially Private Learning with Noisy Labels 

      Mohapatra, Shubhankar (University of Waterloo, 2020-05-28)
      Supervised machine learning tasks require large labelled datasets. However, obtaining such datasets is a difficult task and often leads to noisy labels due to human errors or adversarial perturbation. Recent studies have ...
    • Innovations in Domain Knowledge Augmentation of Contextual Models 

      Michalopoulos, Georgios (University of Waterloo, 2022-08-03)
      The digital transformation of our society is creating a tremendous amount of data at an unprecedented rate. A large part of this data is in unstructured text format. While enjoying the benefit of instantaneous data access, ...


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