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2021 Awardees

2020 Awardees 2022 Awardees
  • Phillip Isola | Massachusetts Institute of Technology

    Phillip Isola | Massachusetts Institute of Technology

    Recognized for high impact contributions to generative image modeling and image editing, as well as to understanding of image memorability and more recently to few-shot learning and domain adaptation.

  • Judy Hoffman | Georgia Institute of Technology

    Judy Hoffman | Georgia Institute of Technology

    Recognized for influential works for the domain adaptation of deep neural networks, transferring knowledge obtained from one domain to another domain without catastrophic failure.

  • Yarin Gal | University of Oxford

    Yarin Gal | University of Oxford

    Recognized for novel research in natural language processeing bassed on strong theoretical foundations.

  • Jacob Andreas | Massachusetts Institute of Technology

    Jacob Andreas | Massachusetts Institute of Technology

    Recognized for impactful works in the field of uncertainty in machine leraning such as bayesian deep learning.

  • Diyi Yang | Georgia Institute of Technology

    Diyi Yang | Georgia Institute of Technology

    Recognized for high impact research on understanding/using natural language processing techniques in the context of social media and more general social interaction.

Award Ceremony
Awardee’s Contribution Speech

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