Active Learning

How it went

The workshop presented Active Learning as a smart way to improve models even when high-quality labeled data is scarce.

The workshop was devoted to the Active Learning method and its use in effective training of models on a limited amount of annotated data. Participants learned about strategies for selecting the most informative samples, the impact on model accuracy, and options for reducing annotation costs. The topic was set in practical scenarios where data collection is expensive or slow. The workshop showed that thoughtful work with data is often as important as the choice of model itself.

Event resources

• Photo Gallery

Event speakers

• Alžběta Pokorná

  Workshop Lecturer and AI Researcher • Department of Information Engineering

  LinkedInCZU