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Development of algorithms for partial multi-label machine learning (Webinar)

Apr 15 • 12:00 – 13:30 CEST

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About this webinar

Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Multi-label learning is a type of machine learning problem where each data instance can be associated with multiple labels simultaneously. Partial multi-label learning addresses problems where each instance is assigned a candidate label set and only a subset of these candidate labels is correct. Partial multi-label learning is particularly useful in scenarios where perfect labeling is expensive or impractical, making it an essential area in weakly supervised learning; however, a major issue of partial multi-label learning is that the training procedure can be easily misguided by noisy labels.

In this webinar, we will talk about the general features of multiple partial multi-label methods, and then the development of learning algorithms to handle dataset with large noisy labels across different domains using various frameworks, with a focus on the recently developed methods for partial multi-label learning based on the Encoder-Decoder framework.

Speaker: Mengjie Han, Associate Professor at Dalarna University.

Who is this webinar for?

This webinar is suitable for data scientists, software developers, scientific researchers, and AI practitioners who are:

  • familiar with the basics of machine learning
  • working on multi-label optimization and learning, and image processing
  • algorithm developers for scientific packages

Key takeaways

After attending this seminar, you will:

  • Be familiar with classic optimization problems
  • Get to know an empirical application of Transformers
  • Understand the importance of algorithms design
  • Be aware of how speed enhancements are important to the results

More events & contact

Check out more upcoming events from ENCCS and our European network at https://enccs.se/events.

For questions regarding this workshop or general questions about ENNCS training events, please contact training@enccs.se

Schedules can change!

To ensure that everyone has the opportunity to participate, we kindly request that you let us know as soon as possible if you are unable to attend an event after registering.

Please send us an email at training@enccs.se to cancel your attendance.

We understand things can change, but repeated cancellations without notice may unfortunately result in your name being removed from future event registration lists.

Regulations

Due to EuroCC2 regulations, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration.

This training is for users who live and work in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 HERE.

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