Contrastive Learning Approaches for Data Classification: Methods, Applications and Software

A satellite event has been organized about contrastive learning. Contrastive or self-supervised learning is an intuitive and computationally feasible alternative to likelihood-based learning that is used in a broad range of domains, including natural language processing, image modeling and representation learning.  Both methodological and applied topics will be presented. The tutorial is scheduled  on August 28, 2024, h. 9.00-13.00.

Confirmed Lecturers

• Michael Gutmann (University of Edinburgh, UK)
• Concetto Spampinato (University of Catania, Italy)

Tutorial registration fee: 

• Early registration (until June 30): € 50; 
• Late registration (after June 30): € 60.

   

Venue. The tutorial will take place at the Department of Economics and Business - Palazzo delle Scienze (Corso Italia, 55 -  95129 Catania). 

Last update:  March 23, 2024.