How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning

  • Date：
    Tue, Feb 18, 2025
  • Time：
    18:00-19:30
  • Location：
    In person: SMBC Academia Hall, 4F of International Academic Research Bldg. The University of Tokyo
    Online: Zoom webinar
  • Host：

    Institute of Future Initiatives, The University of Tokyo

  • Co-host：

    Science Technology and Innovation Governance (STIG) Program, The University of Tokyo
    GRIPS Innovation, Science and Technology Policy Program (GIST)

  • Language：

    English

  • Registration：

    Advance registration required. Registration will be closed when capacity is reached.
    Online participation URL will be sent to those who have applied for participation by e-mail on February 17 (Mon).
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Abstract

We investigate the emergence of Deep Learning as a technoscientific field, emphasizing the role of open labeled datasets. Through qualitative and quantitative analyses, we evaluate the role of datasets like CIFAR-10 in advancing computer vision and object recognition, which are central to the Deep Learning revolution. Our findings highlight CIFAR-10’s crucial role and enduring influence on the field, as well as its importance in teaching ML techniques. Results also indicate that dataset characteristics such as size, number of instances, and number of categories, were key factors. Econometric analysis confirms that CIFAR-10, a small-but-sufficiently-large open dataset, played a significant and lasting role in technological advancements and had a major function in the development of the early scientific literature as shown by citation metrics.

Speaker's bio

Prof. Aldo Geuna is Professor of Economic Policy at the Department of Cultures, Politics and Society, University of Torino and Fellow of the Collegio Carlo Alberto. He obtained a PhD degree from the Department of Economics, Maastricht University. His previous appointments include Senior Lecturer at SPRU, University of Sussex, Senior Research Fellow at RSCAS – Robert Schuman Centre for Advanced Studies – European University Institute and Research Fellow at BETA, Université Louis Pasteur (Strasbourg), and at MERIT, Maastricht University. His research interests include Economics of Science, Economics of Innovation, Science and Technology Policy, Political Economy of Science and Technology, ICT and Internet Economics, Economic Growth and Development Economics. His core research area is the socio-economic analysis of university research behaviour and its links to innovation and economic growth. He has published numerous papers in prestigious journals such as Research Policy. He also published influential books in the field of economics of science and innovation, such as The Economics of Knowledge Production and Global Mobility of Research Scientists.

Contact

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