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For more than twenty years, the CAGS/Pro Quest Distinguished Dissertation Awards have recognized exceptional doctoral researchers making an impact in their field of study.
We seek work that makes significant, original contributions to both the academic community and to Canadian society.
There are two awards: one for engineering, medical sciences and natural sciences; and one for fine arts, humanities and social sciences.
Graduating students will also be listed in the official Commencement booklet and may also be recognized during their College/School Commencement ceremony.
We are excited to announce the SIGCHI Outstanding Dissertation Award, which will recognize the most outstanding research contributions from recently graduated Ph D students within the HCI community, showcasing the quality and impact of HCI research.
The Graduate College appoints a Graduate Student Excellence Awards Committee to review college/school finalists and select awardees based on the evaluation criteria on the attached rubric.
Awards are distributed each year at Graduate Student Day.
Winning dissertations will be published in the ACM Digital Library as part of the ACM Books Series.
Chelsea Finn of the University of California, Berkeley is the recipient of the 2018 ACM Doctoral Dissertation Award for her dissertation, “Learning to Learn with Gradients.” In her thesis, Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small datasets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.
Deep learning has transformed the artificial intelligence field and has led to significant advances in areas including speech recognition, computer vision and robotics.
However, deep learning methods require large datasets, which aren’t readily available in areas such as medical imaging and robotics.